Model Training Jobs in Hyderabad

Position: Solution Consultant SAP EAM Location: Hyderabad, Telangana, India Employment Type: Full-Time, Salaried Compensation: Base Salary + Bonus + Benefits About Innovapptive: Innovapptive is transforming the industrial workforce by connecting front-line workers, back-office teams, and assets through the only patented, Code-Free connected worker platform for SAP and IBM Maximo. Our platform digitizes manual, paper-based processes in maintenance, operations, and supply chain with highly configurable mobile apps, giving real-time visibility and actionable insights to back-office teams. Trusted by global leaders like Newmont Mining, Shell, UNICEF, and Reckitt Benckiser, we save companies millions by improving asset uptime, productivity, safety, and workforce efficiency. Backed by Tiger Global Management and recently funded by Vista Equity Partners, Innovapptive is rapidly growing and committed to empowering 350 million industrial front-line workers worldwide. Role Overview: The Solution Consultant will engage directly with plant maintenance leaders to consult on value improvement, maturity assessments, process enhancements, and mobility best practices. You will lead solution design workshops, drive adoption of Innovapptive s cloud-based SaaS connected worker solutions, and support customers in achieving key operational KPIs such as: Efficient plant maintenance execution Timely maintenance work completion Compliance with regulatory and industry standards Key Responsibilities: Collaborate with customers and internal teams to gather and prioritize requirements, translating them into actionable product features. Lead solution design workshops and create value models demonstrating cost savings and operational improvements. Document test scenarios and maintain traceability matrices aligned with business requirements. Promote rapid, agile solution iterations ensuring quality, efficiency, and speed to value. Ensure delivery timelines and quality standards are met, driving ROI and user adoption post-implementation. Partner with product management to influence roadmap and feature prioritization. Analyze user personas to tailor solutions that alleviate core pain points of maintenance professionals. Develop training materials and documentation to empower end-users. Collaborate across engineering, design, marketing, and sales teams to ensure aligned product development. Embrace a startup mindset adaptable, resilient, and entrepreneurial. Qualifications & Experience: Bachelor s degree in Computer Science, IT, or related field. 5+ years as a solution engineer or functional expert in Smart Manufacturing / Connected Plant applications. 3+ years domain experience in Maintenance and Operations. Strong expertise in Plant Maintenance processes: Work Order Planning & Scheduling, Notifications, Execution, Functional Locations, Inspections, and Permits. Experience with full cycle project implementations is preferred. Excellent analytical, problem-solving, organizational, and communication skills. Self-motivated, able to work independently and within teams. Leadership experience and project coordination skills are a plus. Certifications like CCBA or CBAP are desirable. What We Offer: Collaborative, innovative, and entrepreneurial work environment Opportunities to work with global brands on impactful projects Competitive salary and benefits including medical insurance for family Paid maternity and paternity leave Generous vacation and paid time off Bi-annual performance reviews and transparent feedback culture Extensive learning and development resources Active interest groups and clubs (Book Reading, Toastmasters, Sports, Music) Innovapptive is an equal opportunity employer committed to diversity and inclusion. Qualified applicants will receive consideration without regard to protected characteristics under applicable law. Qualification : Bachelors degree in Computer Science, IT, or related field.

Job Title: Data Governance Architect Job Location: Hyderabad Job Description As a Data Governance Architect at Kanerika, you will play a pivotal role in shaping and executing the enterprise data governance strategy. Your responsibilities include: What You Will Do: Strategy, Framework, and Governance Operating Model Develop and maintain enterprise-wide data governance strategies, standards, and policies. Align governance practices with business goals like regulatory compliance and analytics readiness. Define roles and responsibilities within the governance operating model. Drive governance maturity assessments and lead change management initiatives. Stakeholder Alignment & Organizational Enablement Collaborate across IT, legal, business, and compliance teams to align governance priorities. Define stewardship models and create enablement, training, and communication programs. Conduct onboarding sessions and workshops to promote governance awareness. Architecture Design for Data Governance Platforms Design scalable and modular data governance architecture. Evaluate tools like Microsoft Purview, Collibra, Alation, BigID, Informatica. Ensure integration with metadata, privacy, quality, and policy systems. Microsoft Purview Solution Architecture Lead end-to-end implementation and management of Microsoft Purview. Configure RBAC, collections, metadata scanning, business glossary, and classification rules. Implement sensitivity labels, insider risk controls, retention, data map, and audit dashboards. Metadata, Lineage & Glossary Management Architect metadata repositories and ingestion workflows. Ensure end-to-end lineage (ADF Synapse Power BI). Define governance over business glossary and approval workflows. Data Classification, Access & Policy Management Define and enforce rules for data classification, access, retention, and sharing. Align with GDPR, HIPAA, CCPA, SOX regulations. Use Microsoft Purview and MIP for policy enforcement automation. Data Quality Governance Define KPIs, validation rules, and remediation workflows for enterprise data quality. Design scalable quality frameworks integrated into data pipelines. Compliance, Risk, and Audit Oversight Identify risks and define standards for compliance reporting and audits. Configure usage analytics, alerts, and dashboards for policy enforcement. Automation & Integration Automate governance processes using PowerShell, Azure Functions, Logic Apps, REST APIs. Integrate governance tools with Azure Monitor, Synapse Link, Power BI, and third-party platforms. Requirements 15+ years in data governance and management. Expertise in Microsoft Purview, Informatica, and related platforms. Experience leading end-to-end governance initiatives. Strong understanding of metadata, lineage, policy management, and compliance regulations. Hands-on skills in Azure Data Factory, REST APIs, PowerShell, and governance architecture. Familiar with Agile methodologies and stakeholder communication. Benefits Employee Benefits Culture: Open Door Policy: Encourages open communication and accessibility to management. Open Office Floor Plan: Fosters a collaborative and interactive work environment. Flexible Working Hours: Allows employees to have flexibility in their work schedules. Employee Referral Bonus: Rewards employees for referring qualified candidates. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback. Inclusivity and Diversity: Hiring practices that promote diversity: Ensures a diverse and inclusive workforce. Mandatory POSH training: Promotes a safe and respectful work environment. Health Insurance and Wellness Benefits: GMC and Term Insurance: Offers medical coverage and financial protection. Health Insurance: Provides coverage for medical expenses. Disability Insurance: Offers financial support in case of disability. Child Care & Parental Leave Benefits: Company-sponsored family events: Creates opportunities for employees and their families to bond. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child. Family Medical Leave: Offers leave for employees to take care of family members' medical needs. Perks and Time-Off Benefits: Company-sponsored outings: Organizes recreational activities for employees. Gratuity: Provides a monetary benefit as a token of appreciation. Provident Fund: Helps employees save for retirement. Generous PTO: Offers more than the industry standard for paid time off. Paid sick days: Allows employees to take paid time off when they are unwell. Paid holidays: Gives employees paid time off for designated holidays. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one. Professional Development Benefits: L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development. Mentorship Program: Offers guidance and support from experienced professionals. Job Training: Provides training to enhance job-related skills. Professional Certification Reimbursements: Assists employees in obtaining professional certifications.

Job Title: Presales Solution Architect Location: Hyderabad, India About Us Kanerika At Kanerika Inc., we are a globally recognized software products and services company dedicated to enabling data-driven digital transformation. Co-founded by a Wharton alumnus, our mission is to help enterprises unlock business value through the smart use of data, cutting-edge technologies, and scalable solution architectures. Recognized by Great Place to Work , RPA Today, and Frost & Sullivan, Kanerika is a growing organization that values innovation, inclusivity, and impact. With ISO 27701, SOC2, and GDPR compliance, we re also committed to the highest standards of data privacy and security. Role Overview We are seeking an experienced Presales Solution Architect to join our team. This role is crucial in driving successful sales engagements by combining technical acumen with business insight. You will collaborate closely with sales and technical teams to understand client needs, design optimal solutions, and develop winning proposals. This role demands a strategic thinker with strong communication skills, the ability to simplify complex concepts, and a deep understanding of data architecture, cloud platforms, and presales processes. What You ll Do Solution Architecture & Design Design scalable, secure, and robust solution architectures for enterprise clients. Develop cloud-native, hybrid, and on-premises data architectures using platforms like Azure, AWS, or GCP. Evaluate and recommend the right mix of technologies and services (e.g., Azure Data Factory, Azure Synapse, Power BI, Fabric, etc.). Design conceptual/logical/physical data models and implement data governance practices including data lineage and access control. Create efficient and scalable ETL/ELT pipelines to support analytics and AI-driven outcomes. Presales & Client Engagement Translate business requirements into compelling technical proposals and presentations. Support the sales cycle by responding to RFPs/RFIs, delivering solution walkthroughs, and addressing client queries. Present solutions to technical and business stakeholders, demonstrating clear business value and ROI. Collaborate with cross-functional teams including product, sales, and delivery to co-create winning bids. Thought Leadership & Process Excellence Continuously explore innovations in data analytics and AI to strengthen Kanerika's solution offerings. Mentor internal teams on solution best practices and quality-first development approaches. Ensure alignment of proposed solutions with client goals, business context, and industry trends. What You ll Bring 10+ years of experience in data analytics, AI technologies, and solution architecture. Proven experience in presales or solution design roles with strong exposure to client interactions. Bachelor s degree in Engineering/Technology or MCA from a reputed institution. Certifications in data engineering, cloud (Azure/AWS/GCP), or analytics are a strong plus. Strong understanding of enterprise data architecture and hands-on experience with Azure services. Familiarity with integration of APIs, real-time messaging systems, and scalable application frameworks. Soft Skills Excellent verbal and written communication and presentation skills. Strong interpersonal and collaboration abilities. High emotional intelligence (EQ) and adaptability under pressure. Self-driven, responsible, and capable of working independently with minimal supervision. Strong time management, multi-tasking, and organizational skills. Employee Benefits Culture & Work Environment Open Door Policy for transparent communication. Flexible Working Hours & Open Office Layout. Employee Referral Bonus Program. Biannual Performance Appraisal Process. Inclusivity & Wellness Diversity-focused hiring and Mandatory POSH Training. Comprehensive Health Insurance, Term Insurance & Disability Cover. Family Support & Leave Generous Parental & Family Medical Leave. Company-sponsored Family Events. Time-Off & Perks Generous Paid Time Off (PTO), Sick Days, and Paid Holidays. Bereavement Leave, Gratuity & Provident Fund Contributions. Regular Team Outings and Engagement Activities. Learning & Development Access to FLEX Enterprise Learning Repository. Mentorship & Internal Promotion Opportunities. Professional Certification Reimbursements. Job-specific Training & Upskilling Programs. Join a company where innovation meets impact. Be part of a collaborative and growth-oriented environment where your contributions are recognized, your ideas matter, and your career thrives. Qualification : Bachelors degree in Engineering/Technology or MCA from a reputed institution

Job Title: Data Engineering Manager Location: Hyderabad About Kanerika Kanerika Inc. is a leading global software products and services company dedicated to empowering data-driven enterprises. We help businesses accelerate digital transformation and maximize impact by delivering innovative, custom data solutions that optimize operations, enhance customer experiences, and fuel growth. Our Accolades Best Place to Work 2022 Great Place to Work Top 10 Most Recommended RPA Startups 2022 RPA Today Technology Innovation Award 2021 Frost & Sullivan India for Kompass composable solution Recognized for strong data privacy and security standards: ISO 27701, SOC2, GDPR compliant With a 4.5/5 Glassdoor rating, Kanerika fosters an inclusive, growth-oriented culture where employees thrive. We offer: Flexible working hours and generous parental leave Mandatory training on a safe and inclusive work environment Mentorship, professional development, and certification support Company-sponsored outings and work-life balance initiatives Join a vibrant, diverse community where your contributions truly matter. The Role We are looking for an experienced Data Engineering Manager to lead and inspire our data engineering team in Hyderabad. Partnering closely with Data Architects, you ll drive the design and development of scalable, cloud-based data pipelines and models, ensuring data quality, security, and performance. What You ll Do Lead and mentor a high-performing data engineering team, driving productivity and accountability. Collaborate with architects and development leads to build scalable, enterprise-grade data solutions. Oversee agile workflows, manage escalations, and coordinate hiring and resource planning. Use data-driven insights to guide team priorities and continuous improvement. Support pre-sales activities and work cross-functionally with sales and recruitment teams. Foster a culture of innovation, quality-first mindset, and customer focus. Who You Are A proactive leader with experience managing mid to large-sized teams and complex projects. An effective communicator, both verbally and in writing, with a knack for visually presenting ideas and core values. Results-oriented with a proven track record of delivering successful projects and publishing customer case studies. A process-driven, independent thinker who thrives under pressure and embraces continuous learning. Passionate about inclusivity and committed to contributing authentically to a diverse team environment.

Summary: As an AI/ML Developer, you ll play a pivotal role in creating and delivering cutting-edge enterprise applications and automations using Infor s AI, RPA, and OS platform technology. Your mission will be to identify innovative use cases, develop proof of concepts (PoCs), and deliver enterprise automation solutions that elevate workforce productivity and improve business performance for our customers. Title: Software Engineer Experience: 2-5 years. Skill: AI/ML, Python, AWS, SQL Location: Hyderabad Key Responsibilities: Use Case Identification: Dive deep into customer requirements and business challenges. Identify innovative use cases that can be addressed through AI/ML solutions. Data Insights: Perform exploratory data analysis on large and complex datasets. Assess data quality, extract insights, and share findings. Data Preparation: Gather relevant datasets for training and testing. Clean, preprocess, and augment data to ensure suitability for AI tasks. Model Development: Train and fine-tune AI/ML models. Evaluate performance using appropriate metrics and benchmarks, optimizing for efficiency. Integration and Deployment: Collaborate with software engineers and developers to seamlessly integrate AI/ML models into enterprise systems and applications. Handle production deployment challenges. Continuous Improvement: Evaluate and enhance the performance and capabilities of deployed AI products. Monitor user feedback and iterate on models and algorithms to address limitations and enhance user experience. Proof of Concepts (PoCs): Develop PoCs to validate the feasibility and effectiveness of proposed solutions. Showcase the art of the possible to our clients. Collaboration with Development Teams: Work closely with development teams on new use cases. Best Practices and Requirements: Collaborate with team members to determine best practices and requirements. Innovation: Contribute to our efforts in enterprise automation and cloud innovation. Key Requirements: Experience: A minimum 3 years of hands-on experience in implementing AI/ML models in enterprise systems. AI/ML Concepts: In-depth understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Languages: Proficiency in Python or R, along with querying languages like SQL. Data Handling: Ability to work with large datasets, perform data preprocessing, and wrangle data effectively. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML for implementing ML solutions is highly preferred. Frameworks and Libraries: Familiarity with scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking abilities to identify problems, formulate hypotheses, and design experiments. Business Process Understanding: Good understanding of business processes and how they can be automated. Domain Expertise: Familiarity with Demand Forecasting, Anomaly Detection, Pricing, Recommendation, or Analytics solutions. Global Project Experience: Proven track record of working with global customers on multiple projects. Customer Interaction: Experience facing customers and understanding their needs. Communication Skills: Excellent verbal and written communication skills. Analytical Mindset: Strong analytical and problem-solving skills. Collaboration: Ability to work independently and collaboratively. Educational Background: Bachelor s or Master s degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or specialization in AI, ML, Statistics & Probability, Deep Learning, Computer Vision, or NLP/NLU is advantageous. About Infor: Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation.

Position Title: Employee Experience & Retention (EE&R) Manager About Firstsource: Firstsource Solutions Limited, part of the RP-Sanjiv Goenka Group, is a leading provider of transformational solutions spanning the customer lifecycle in sectors including Healthcare, Banking & Financial Services, Communications, Media & Technology, and more. Through our 'Digital First, Digital Now' approach, we help organizations reinvent operations and reshape business models, delivering valuable moments that matter and gaining competitive advantage. We have a global presence across the US, the UK, India, the Philippines, Australia, Mexico, and South Africa, supporting over 100 top global brands, including several Fortune 500 and FTSE 100 companies. Position Purpose: The Employee Experience & Retention (EE&R) Manager is tasked with overseeing all aspects of Employee Experience and Retention within the aligned process. This role ensures the effective execution of EE&R initiatives within agreed timeframes, supporting the achievement of high employee engagement, retention, and satisfaction throughout the process. Key Responsibilities: Employee Relationship Management & Communication: Employee Relations Support: Act as the primary point of contact for EE&R-related matters, handling queries and grievances effectively and providing ongoing employee relations counsel. Policy Communication: Conduct policy sessions during induction, training, and as part of regular Business-As-Usual (BAU) refreshers. Visibility & Engagement: Maintain a consistent and visible presence on the operations floor to foster employee engagement. Reward & Recognition Management: Lead and manage the Reward and Recognition program, addressing concerns and ensuring timely recognition. Employee Support: Provide assistance to employees and teams by implementing EE&R interventions when necessary. Survey Execution: Ensure the timely execution of ESAT, Dipstick, and 360 surveys, acting on the insights to address any concerns and improve employee satisfaction. Policy Updates: Communicate any policy, procedure, or process changes to relevant stakeholders in the process. Corporate Social Responsibility (CSR): Drive CSR initiatives within the team, fostering a sense of community and purpose. Engagement Activities: Organize fun activities and team-building events to maintain a positive, engaging work environment. One-on-One and Skip-Level Meetings: Regularly meet with Team Leaders, Managers, and employees to address concerns, provide HR updates, and gather feedback. Career Progression & Performance Management: Performance Management Execution: Ensure the smooth execution of the Performance Management Process (annually, bi-annually, and monthly). Internal Job Postings (Lateral Moves): Manage and facilitate internal job postings, supporting employee mobility within the organization. Promotion and Assessment: Organize and manage assessment centers to promote advisors to the next level. Career Development Support: Provide guidance and support for employee career growth and development opportunities. Compliance: Increments & Promotions: Ensure timely handling of employee increments and promotions in alignment with lifecycle approaches. Confirmation Process: Oversee the employee confirmation process after six months of service, ensuring timely and accurate documentation. Payroll Coordination: Collaborate with payroll teams to ensure timely receipt of payroll inputs, sign off, and review before submission to vendors. Background Checks & Compliance: Follow up on background checks and ensure appropriate actions are taken for any unfavorable reports. Headcount & Attrition Reports: Own the preparation of weekly headcount and attrition reports, ensuring accuracy and timeliness. Audit Support: Provide necessary support for effective audits and ensure compliance with organizational standards and regulations. Qualifications & Skills: Communication Skills: Excellent interpersonal and communication skills for effectively managing relationships, engaging with employees, and resolving issues. Organizational Skills: Strong time management and organizational skills, with the ability to prioritize tasks and manage multiple responsibilities efficiently. HR Expertise: Deep understanding of HR policies, employee relations, performance management, and compliance requirements. Conflict Resolution: Proven ability to manage grievances, conflicts, and sensitive employee matters with professionalism and discretion. Employee Engagement: Experience in designing and implementing employee engagement initiatives and activities. Team Collaboration: Ability to work collaboratively with Team Leaders, Managers, and other HR teams to drive results. Compliance Knowledge: Understanding of payroll, background checks, and audit processes, ensuring adherence to compliance standards.

Job Title: Software DevOps Development Engineer Location: Hyderabad The Software DevOps Development Engineer is responsible for developing and enhancing software solutions to support a secure Software Development Lifecycle (SDLC). This role requires a strong foundation in software development and DevOps practices to facilitate the adoption of the SDLC framework. Job Duties and Responsibilities Develop and Enhance Software: Design, develop, test, and implement software solutions to automate and streamline SDLC processes. Integrate security controls and best practices into software development activities. Collaborate with security teams to ensure software aligns with security standards and requirements. Identify opportunities for software improvement and optimization to enhance efficiency and effectiveness. Support SDLC Framework Adoption: Provide technical guidance and support to development teams in adopting the SDLC framework. Develop and maintain documentation, training materials, and other resources to facilitate framework adoption. Conduct workshops and training sessions to increase awareness and understanding of the SDLC framework. Collaborate with stakeholders to identify and address challenges related to framework implementation. Jenkins Pipeline Development: Design, develop, and maintain Jenkins pipelines for continuous integration and continuous delivery (CI/CD). Automate build, test, and deployment processes to improve software delivery efficiency. Integrate security checks and vulnerability scanning into Jenkins pipelines. Troubleshoot and resolve Jenkins pipeline issues. Scripting and Automation: Write and maintain scripts using Groovy and Python to automate tasks and improve efficiency. Develop custom tools and scripts to support SDLC activities. Integrate scripting solutions with existing tools and systems. Required Skills: Strong software development and DevOps background Proficiency in Jenkins pipelines Expertise in Groovy and Python scripting Understanding of various SDLC methodologies (Agile, Waterfall, etc.) Knowledge of security best practices and tools Problem-solving and troubleshooting skills Excellent communication and collaboration abilities Preferred Skills: Experience with cloud platforms (AWS) Knowledge of containerization technologies (Docker, Kubernetes) Experience with infrastructure as code (IaC) tools (Terraform, Ansible) Benefits: We strongly believe in a competitive salary and benefits package for our employees. Along with the opportunity to work on cutting-edge technologies in the Biotechnology Industry, Clovertex also reimburse AWS certifications at various levels. Clovertex understands the importance of Work Life balance and provides Hybrid work model. Health insurance and benefits for the employees and dependents. Additional Information: Clovertex is an equal opportunity employer and values diversity in the workplace. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating a positive and inclusive work environment for all employees.

Position: AI/ML Developer Company: Infor Location: Hyderabad, India Experience: 2-5 years Skills: AI/ML, Python, AWS, SQL Role Summary: As an AI/ML Developer at Infor, you will be at the forefront of creating and delivering state-of-the-art enterprise applications and automation solutions powered by Infor s AI, RPA, and OS platform technologies. Your primary mission will be to identify impactful AI/ML use cases, develop proof of concepts (PoCs), and deliver automation solutions that drive workforce productivity and enhance business outcomes for our clients. Key Responsibilities: Use Case Identification: Work closely with customers to understand their business challenges and identify opportunities for AI/ML solutions to address these needs. Data Insights: Perform exploratory data analysis on large, complex datasets to uncover key insights. Assess data quality and share findings that can inform decision-making. Data Preparation: Collect, clean, preprocess, and augment datasets for training and testing AI models, ensuring they are ready for AI tasks. Model Development: Design, train, and fine-tune AI/ML models, evaluating them against appropriate performance metrics and optimizing for maximum efficiency. Integration & Deployment: Partner with software engineers to integrate AI/ML models seamlessly into enterprise applications and systems. Address deployment challenges to ensure smooth production workflows. Continuous Improvement: Monitor the performance of deployed AI models, gather user feedback, and iterate to improve models, algorithms, and user experience. Proof of Concepts (PoCs): Develop PoCs to demonstrate the feasibility and effectiveness of AI/ML solutions, showcasing the potential of new technologies to clients. Collaboration: Work closely with development teams to explore and implement new use cases for AI and automation. Best Practices: Collaborate with your team to establish best practices and ensure high-quality development standards. Innovation: Contribute to the innovation of cloud-based enterprise automation solutions and the development of cutting-edge AI technologies. Key Requirements: Experience: Minimum 3 years of hands-on experience in implementing AI/ML models in enterprise environments. AI/ML Knowledge: Strong understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Skills: Proficiency in Python or R, with experience in SQL for querying databases. Data Handling: Expertise in working with large datasets, performing data preprocessing, and effectively managing data pipelines. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML is preferred for deploying machine learning solutions. Frameworks & Libraries: Familiarity with machine learning libraries like scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking and problem-solving abilities, with the capacity to design and run experiments to validate hypotheses. Business Process Understanding: Knowledge of business processes and how they can be automated through AI and ML. Domain Expertise: Experience or interest in areas like Demand Forecasting, Anomaly Detection, Pricing, Recommendations, or Analytics. Global Experience: Proven experience in working with global customers on diverse projects, understanding their needs, and delivering tailored solutions. Communication Skills: Excellent verbal and written communication skills, with the ability to clearly explain complex AI concepts to clients and team members. Collaboration & Independence: Ability to work both independently and as part of a team, collaborating with cross-functional teams to drive success. Educational Background: A Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or expertise in AI, ML, Deep Learning, NLP/NLU, Computer Vision, or similar domains is highly desirable.

Senior SAP FICO Solution Architect Join us and be part of our successful team! Baker Hughes, a leader in the oilfield services industry, offers exceptional opportunities for qualified individuals eager to grow within our high-performance organization. We leverage cutting-edge technologies to create value for our customers and shareholders, while ensuring safety and efficiency in all we do. Partner with the Best As a Senior SAP FICO Solution Architect, your responsibilities will include: Identifying and analyzing business requirements and functional specifications to design solutions that align with business needs and SAP capabilities, utilizing SAP PaPM and FICO. Configuring SAP PaPM/FICO system settings, managing unit, integration, and acceptance testing, and developing functional and technical specifications. Designing and implementing advanced financial models and solutions to support complex calculations, allocations, and reporting. Evaluating current business processes and systems to recommend improvements and implement best practices. Delivering end-to-end solutions that meet critical business objectives while ensuring alignment with industry standards. Troubleshooting complex issues, collaborating with subject matter experts to resolve defects. Proactively identifying opportunities for system optimization, performance improvements, and increased efficiency. Creating test scenarios, executing test cases, documenting test results, and ensuring quality assurance for the business. Supporting project planning, post-implementation activities, documentation, cutover plans, and transition planning. Fuel Your Passion To excel in this role, you should have: A minimum of 10-15 years of experience in SAP FI/CO modules. At least 5 years of techno-functional experience in SAP Finance. 2-3 years of proven experience as an SAP PaPM Systems Analyst, Developer, or Consultant, with a strong track record of successful implementations and system evolution, including configuration and customization. A Bachelor's or Master's degree in finance, business, technical discipline, or equivalent experience. Work in a Way That Works for You At Baker Hughes, we recognize that everyone has their unique way of working. In this role, we offer flexible working hours to help you achieve work-life balance and be most productive when it suits you best. Working With Us Our people are at the core of everything we do. At Baker Hughes, we re committed to developing, engaging, and empowering our employees, allowing them to bring their full authentic selves to work. We invest in the well-being and development of our team, training, rewarding talent, and cultivating leadership at all levels to drive excellence. Working for You At Baker Hughes, we believe that innovation is key to our future success. We prioritize employees who embrace change and contribute to driving progress. As part of our team, you ll receive a comprehensive benefits package, including: Flexible work-life balance policies and wellness programs Private medical care options Life insurance and disability programs Tailored financial programs Additional voluntary benefits About Us Baker Hughes is a global energy technology company providing innovative solutions to energy and industrial customers worldwide. With over 120 years of experience, we operate in more than 120 countries, leading the way in energy transformation by making it safer, cleaner, and more efficient for the world. Join Us If you re looking for an opportunity to make a real impact in a company that values innovation, progress, and a forward-thinking approach, we want to hear from you! Become part of a team that will challenge and inspire you. Together, we can take energy forward.

About the Role: MS Excel Plug-in Developer As an MS Excel Plug-in Developer at Planful, you will design, develop, and maintain Excel plug-ins that enhance the functionality of our software products. You ll collaborate closely with cross-functional teams to understand user needs, design intuitive interfaces, and implement seamless integrations with Excel. This is an exciting opportunity to leverage your expertise in Excel development while contributing to the growth of a high-performing software company. Responsibilities Collaborate with product management, UX/UI designers, and other stakeholders to understand requirements and design specifications for Excel plug-ins. Design and develop custom Excel plug-ins and integrations that extend the capabilities of the Planful platform. Implement intuitive user interfaces, custom functions, and data manipulation features using VBA, .NET, or other relevant technologies. Integrate Excel plug-ins with external data sources, APIs, and third-party services to enable seamless data exchange and automation. Conduct comprehensive testing and debugging to ensure high performance, compatibility, and reliability across different Excel versions and operating systems. Optimize the performance and functionality of Excel plug-ins for scalability and user experience. Provide technical support and documentation, assisting users with installation, configuration, and troubleshooting. Stay updated on the latest trends and advancements in Excel development, incorporating new features to meet evolving user needs. Collaborate with internal teams to identify opportunities for innovation and continuous improvement in Excel integration. Requirements Proven experience (8+ years) in software development, with a focus on MS Excel plug-in development. Proficiency in Microsoft Excel development tools and technologies, including VBA (Visual Basic for Applications), COM (Component Object Model), and the .NET Framework. Strong understanding of the Excel object model, worksheet functions, and event-driven programming. Experience with different types of Excel add-ins, such as COM add-ins, XLL add-ins, and Office JS add-ins. Expertise in Excel automation, data manipulation, and reporting functionalities. Solid grasp of software development principles, methodologies, and best practices. Strong analytical and problem-solving skills, with the ability to translate user requirements into technical solutions. Excellent communication and collaboration skills for working effectively in cross-functional teams. Ability to multitask, prioritize tasks, and meet deadlines in a fast-paced environment. At Planful, we believe in helping our customers and our people achieve peak performance. We re proud of our best-in-class culture and offer an environment where you can thrive both professionally and personally. Here s what makes Planful a great place to work: Time Off & Wellness: 2 volunteer days, birthday PTO, and quarterly company-wide wellness days. Parental Support: 3 months of diaper supply and meal deliveries for the first month of your maternity/paternity leave. Annual Planful Palooza: Our in-person, company-wide culture kickoff, most recently held in Goa, India! Professional Growth: Company-wide mentorship program with executive sponsorship, manager-specific monthly training programs, and more. Employee Resource Groups (ERGs): Join communities like Women of Planful, LatinX at Planful, and Parents of Planful. We celebrate diversity and encourage our teammates to create new ERGs and communities along the way.

Job Overview Qualcomm is a leading technology innovator, driving digital transformation to enable smarter, connected experiences for all. As a Software Engineer within the LLVM Tools Group, you will work on the LLVM toolchain for various architectures like ARM, Hexagon, and RISCV. This toolchain includes a range of tools such as compilers, linkers, debuggers, and profilers. As part of the QA and Support team, your primary role will be to ensure that software products are reliable, functional, and meet the required quality standards. You will collaborate with development teams and customers to address issues and improve software throughout the development lifecycle. Key Responsibilities Test Planning: Develop comprehensive test plans and test cases based on software requirements and specifications. Test Execution: Perform manual and automated testing to identify defects and ensure software functionality. Bug Reporting: Analyze test failures/regressions and report bugs to the development team, ensuring timely tracking and resolution. Collaboration: Work closely with developers and customers to understand software design, provide feedback on improvements, and actively participate in process improvement efforts. Documentation: Maintain detailed documentation of test procedures, results, and issues encountered during the testing process. Quality Assurance: Ensure the final product meets Qualcomm s quality standards and customer expectations. Minimum Qualifications Education: Bachelor s or Master s degree in Engineering, Information Systems, Computer Science, or a related field. Experience: 2-5 years of experience in software quality assurance or software customer support. Programming Skills: Experience with programming languages such as C, C++, Python, etc. Preferred Qualifications Embedded Systems/Kernel Testing: Experience with software development and testing on embedded systems, Linux kernel, or firmware. Testing Toolchain: Hands-on experience testing compilers and embedded software development toolchains. Automation: Experience in software refactoring, test automation, and machine learning. Tools: Proficiency in tools like Perl, Python, shell scripting, make, cmake, and git. Command-Line: Experience working on both Windows and Linux environments. Development Tools: Knowledge of compilers, assemblers, linkers, and simulators used in software development. Test Automation: Experience in architecting and developing test automation tools (web, embedded systems). Problem Solving: Expert-level analysis, diagnosis, and troubleshooting abilities. Communication: Strong presentation and communication skills to effectively share insights with cross-functional teams. Qualification : Bachelors or Masters degree in Engineering, Information Systems, Computer Science, or a related field.

Introduction At IBM, work is more than a job it s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world s most challenging problems? If so, lets talk. Your Role and Responsibilities We re looking for software development candidates that want to turn ideas into reality, focus on innovation and development in our modernization journey. Our Strategic Product Development team creates and delivers exciting product features that impact the business to be successful. You ll work alongside global and local multidisciplinary teams of Developers, Architects and Analysts focused on the next generation of solutions. Do you enjoy working and thrive in a Challenging yet collaborative team environment? Passionate about technology and software? You have extremely strong analytical, problem-solving and troubleshooting skills? If so, you ll fit right in with our team. You employ creative thinking and collaboration as the foundation of your daily approach towards our Product development team. At IBM, job is more than work! It offers you thrive on career as well as on skills to be latest with a perfect work-life balance. Required Technical and Professional Expertise 2 10 years of relevant industry experience in Artificial Intelligence and Machine Learning Platforms with specialization in Generative AI. Solid experience of Python Programming Language. Experience with Large Language Models and Natural Language Processing Familiarity with the Pytorch framework Experience with software development lifecycle Excellent problem determination skills Excellent written and oral communication skills Excellent organizational skills Preferred Technical and Professional Expertise Design experience for supporting new requirements. Willingness to learn new skills and technologies. Experience using git and github Familiarity with Node.js and creating VS Code extensions Flexible to work between development/test/support roles. Knowledge on other programming languages (C/C++, Java, Open-Source Programming Languages) is added advantage.

We are seeking a skilled and driven Senior Data DevOps Engineer with strong MLOps expertise to join our team. The ideal candidate will have a deep understanding of data engineering, automation in data pipelines, and operationalizing machine learning models. The role requires a collaborative professional capable of designing, deploying, and managing scalable data and ML pipelines that align with business goals. #LI-DNI#EasyApply Responsibilities Develop, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment Implement and maintain infrastructure for data processing and model training using cloud-based tools and services Automate data validation, transformation, and workflow orchestration processes Collaborate with data scientists, software engineers, and product teams to ensure seamless integration of ML models into production Optimize model serving and monitoring to enhance performance and reliability Maintain data versioning, lineage tracking, and reproducibility of ML experiments Proactively identify opportunities to improve deployment processes, scalability, and infrastructure resilience Ensure robust security measures are in place to protect data integrity and compliance with regulations Troubleshoot and resolve issues across the data and ML pipeline lifecycle Requirements Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field 4+ years of experience in Data DevOps, MLOps, or related roles Strong proficiency in cloud platforms such as Azure, AWS, or GCP Experience with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible Expertise in containerization and orchestration technologies (e.g., Docker, Kubernetes) Hands-on experience with data processing frameworks (e.g., Apache Spark, Databricks) Proficiency in programming languages such as Python, with knowledge of data manipulation and ML libraries (e.g., Pandas, TensorFlow, PyTorch) Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions) Experience with version control tools (e.g., Git) and MLOps platforms (e.g., MLflow, Kubeflow) Strong understanding of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana) Excellent problem-solving skills and the ability to work independently and as part of a team Strong communication and documentation skills Nice to have Experience with DataOps concepts and tools (e.g., Airflow, dbt) Knowledge of data governance and tools like Collibra Familiarity with Big Data technologies (e.g., Hadoop, Hive) Certifications in cloud platforms or data engineering We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or Masters degree in Computer Science, Data Engineering, or a related field

Description Einstein products & platform democratize AI and transform the way Salesforce builds trusted machine learning and AI products - in days instead of months. It augments the Salesforce Platform with the ability to easily create, deploy, and manage Generative AI and Predictive AI applications across all clouds. We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc. We are already producing over a billion predictions per day, Training 1000s of models per day along with 10s of different Large Language models, serving thousands of customers. We are enabling customers' usage of leading large language models (LLMs), both internally and externally developed, so they can leverage it in their Salesforce use cases. Along with the power of Data Cloud, this platform provides customers an unparalleled advantage for quickly integrating AI in their applications and processes. About the team: Join the AI Cloud Quality Engineering team, and become a specialist on Salesforce's AI Platform and applications! You will be a key member of the Quality Engineering team in India as we build the India organization, while working with experts worldwide. You'll get to work with latest technology in the AI space (including generative AI), and collaborate with the team and cloud to identify and run quality initiatives to support massive scale planned both in the short term and long term. We are a small, friendly team that has been working together for years - outside of quality, we focus on volunteering and other shared interests. Job description summary: As a Quality Engineer for the Salesforce AI Cloud, you will be responsible for leading the design, development and execution of comprehensive test plans/quality strategies with emphasis on automation . You will collaborate closely with product & engineering teams, actively contributing to the quality of new features while ensuring successful execution of regression tests in various environments. You will be working in a fast phased environment and will be expected to understand complex backend AI flow systems/dependencies, identifying potential risks, and strategically plan and execute comprehensive testing efforts to ensure the stability, reliability and quality of the feature and release. Skills needed for role: * Strategic and Tactical leadership : Experience leading analysis of coverage gaps and writing E2E and integration tests, partnering with teams to drive service level test coverage * Technical Expertise: Technical excellence and leadership required in identifying, developing and maintaining tests involving API, databases and web UI tests. Strong knowledge of automation tools and continuous automation systems. * Cross Team Collaboration: Ability to work with stakeholders (internal customers) from multiple organizations that leverage our central platform for custom applications. Collaborate with them to determine key shared usage patterns to prioritize test coverage of, as well as provide guidance to these customers on how to proactively test their application s integration with the platform. * Strong knowledge and experience of Java/Python/Selenium/CD pipeline configurations * Excellent communication skills: Experience generating reports, presenting and holding the quality bar for new features & release * Experience working in Global teams: Ability to work and partner with peers and other partner teams across timezones. * 8+ years of QE experience and 2+ years of experience leading projects and partnering/leading junior members of the team. Nice to have skillsets (or skillsets expect to develop in this role): * Understanding of LLM Model hosting with Sagemaker * Understanding LLM Finetuning and Inferencing * Testing integrations with Cohere, Anthropic, Dolly, Google, etc. as well as internal models * Sagemaker GroundTruth integration for data labelling, Bedrock for model serving * Experience with Azure Open AI * Experience with Tableau around creating dashboards for reporting What the team does: * Center of Excellence for Quality within the AI Platform teams, driving excellence through automation, tools, and streamlined processes (evangelizing shift left methodologies) . * Building/enhancing test frameworks/tooling for the easy creation and maintenance of integration and end-to-end tests. * Proactively drive quality by monitoring and reporting of test stability metrics for pre-prod & Prod environments through dashboards, triaging and filing and follow up of bugs. * CUJs(Critical User Journey test) for cross-cloud integration and apps * Configure tooling/runners for automated tests, used by scrum teams * Configure various test environments such as setting up core test env hawking test env connectivity * Define and measures Quality metrics (code coverage, endpoint coverage, service coverage, etc.) goals are met for the ML foundations * Automation strategies and framework support for all kinds of testing * Identify risks with releases, deployments, etc. * Support TAM expansion to multiple geographies and monitoring platform stability * Daily management of Integration tests pass rates in Test, App-Dev, Stage & Prod environments - bugs created/assigned if failures not being addressed, building test result dashboards and simplifying feedback/debugging process for engineers

Overview The Web Experiences Team (WebXT) at Microsoft is accelerating innovation to enable engaging web experience products for every person. Our team uses latest NLP deep learnt models to prepare Grounding data for our Copilot efforts. Doing this at web-scale impacts billions of queries per day and millions of users. If you are excited and passionate about running end to end experiments, creating substantial impact, you will find home in our team. We are looking for a Data & Applied Scientist IIwho is excited to work on ML/DL models capable to work at internet scale. An ideal candidate will have good Machine/Deep Learning knowledge with hands on experience in solving complex real-world ML/DL problems. In addition, the candidate will have knowledge of one or more ML/DL frameworks and a deep understanding of the different types of algorithms and their applications with hands-on experience in implementing at least a few of the solutions. We hire people excited to solve the hard problems, eager to work in a larger team of data scientists and engineers and ready to make an impact on how the web works. As a team, we leverage the diverse backgrounds and experiences of passionate engineers, scientists, and program managers to help us realize our goal of making the world smarter and more productive. We believe great products are built by inclusive teams of customer-obsessed individuals who trust each other and work closely together. We collaborate regularly across the company both to find the technology breakthroughs from groups like Microsoft Research to infusing AI into the rest of Microsoft products like Office. We would like you to get a peek into our culture on Instagram (@lifeatstci) and below is more about this job and what we are looking for. Happy applying! Visit us at https://aka.ms/STCI Microsoft s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. Additional or Preferred Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electricalor Computer Engineering, or related field 3+years of professional experience applying Deep learning, Machine Learning concepts in real world applications. Research and/or development experience with machine learning, NLP and data mining. Experience in architecting, developing, and delivering advanced NLP projects. Responsibilities Your responsibilities include: Developing novel machine learning and data mining algorithms. Designing and developing solutions that respond in real time. Build data quality checks and re-usable modules for the training. Host ML models with production-ready code. Designing and executing offline/online experiments. Advancing the state of the art of NLP technologies for real world scenarios. Investigating and solving NLP accuracy and robustness issues across all processing chains, including model development, test and quality control, deployment, and user feedback stages. Qualification : Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)

When you mentor and advise multiple technical teams and move financial technologies forward, it s a big challenge with big impact. You were made for this. As a Senior Manager of Software Engineering at JPMorgan Chase within the Consumer and Community Banking, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities. Job responsibilities Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks Be accountable for decisions that influence teams resources, budget, tactical operations, and the execution and implementation of processes and procedures Ensures successful collaboration across teams and stakeholders Identifies and mitigates issues to execute a book of work while escalating issues as necessary Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team Leads teams to deliver engineering results with direct business and customer impacts, on time and on budget. Works has impact to immediate team and impacts additional teams and functions. Partners with product, architecture, and other engineering teams to define scalable and performant technical solutions. Leverages deep technical expertise to design extensible and scalable solutions, and to coach and grow individuals and teams. Ensures team executes work according to compliance standards, SLAs, and business requirements, to meet the objectives of an initiative. Anticipates the needs of broader teams and potential dependencies with other teams. Identifies and mitigates issues to execute a book of work while escalating issues as necessary. Proactively helps maintain high operational excellence standards for our production systems. Encourages development of technological methods and techniques within team. Coaches agility lead and team to effectively leverage Agility practices. Creates a culture of diversity, equity, inclusion, and respect for team members and prioritizes diverse representation. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Experience leading teams of technologists Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives Experience with hiring, developing, and recognizing talent In-depth knowledge of the services industry and their IT systems Experience leading at least two scrum teams of technologists. Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives. Experience with hiring, developing, and recognizing talent. Requires depth of knowledge and experience in two of the following areas, with developing knowledge in the others. High throughput, low latency micro service development leveraging AWS services such EKS, ECS, Fargate, ELB, etc. High throughput near real time stream processing with services such Kinesis, Flink, ECS, EKS, etc. High volume feature engineering with services such EMR. Experience leveraging trained model artifacts in newer model architectures and approaches such as neural networks, embeddings, multi arm bandits, etc. Prior hands-on coding experience with two or more of Java, Python, SQL. Experience with recommendation and personalization systems is a plus. Preferred qualifications, capabilities, and skills Experience working at code level

Position Title: Soft Skills Trainer Location: Hyderabad (On-site) Experience: 4 7 Years Department: Learning & Development (L&D) Employment Type: Full-Time Company: GSPANN Technologies About the Role: GSPANN is seeking a dynamic and experienced Soft Skills Trainer to enhance communication, collaboration, and leadership capabilities across our workforce. In this role, you will design and deliver impactful training programs that empower employees and elevate performance in a fast-paced IT environment. Key Responsibilities: Conduct training needs assessments to identify soft skills gaps across teams and departments. Design and develop customized, interactive training modules including presentations, role-plays, group discussions, and real-world scenarios. Deliver high-impact training on topics such as: Effective communication (verbal & written) Teamwork & collaboration Emotional intelligence & interpersonal skills Conflict resolution Presentation & leadership skills Time management & decision making Evaluate training effectiveness using feedback, post-training assessments, and performance metrics. Continuously improve program content and delivery methods based on feedback and organizational needs. Collaborate with HR, team leads, and business heads to align training goals with business objectives. Support broader L&D initiatives, including coordination of logistics, vendor management, and LMS support. Stay abreast of industry best practices and innovations in soft skills training and adult learning. Required Skills and Experience: Bachelor s degree in Education, HR, Business, Psychology, or related field. 4 7 years of proven experience delivering soft skills training in a corporate/IT environment. Strong facilitation skills with the ability to engage diverse audiences effectively. Excellent communication, presentation, and interpersonal skills. Proficiency in instructional design and adult learning methodologies. Ability to manage multiple programs and deadlines in a fast-paced setting. Collaborative, self-driven, and adaptable to changing learning needs. Working knowledge of Learning Management Systems (LMS). Certifications in instructional design, train-the-trainer, or soft skills facilitation are highly desirable. Be part of a growth-oriented organization that values learning and development. Collaborate with global teams across diverse technologies and functions. Drive meaningful impact by empowering professionals across all career levels. Enjoy a dynamic, inclusive, and innovative workplace culture.

AI Solution Architect Full-Time | Hyderabad, India Department: Engineering Experience: 10+ years in AI/ML Location: On-site | Hyderabad, Telangana Salary: Competitive, based on experience About the Role We are looking for an experienced and visionary AI Solutions Architect to design, build, and scale advanced AI/ML solutions as part of our cutting-edge ZL Platform. This role requires deep technical expertise in machine learning, large language models (LLMs), model deployment, and a strong understanding of customer-driven product development. You'll collaborate with cross-functional teams Engineering, Product, Sales to translate business needs into impactful AI systems. Key Responsibilities Architect and lead the development of scalable AI/ML solutions integrated with the ZL Platform. Partner with Engineering, Product, and Sales teams to deliver PoC (proof of concept) demos and ensure successful customer adoption. Take ownership of AI and machine learning components, ensuring high quality, maintainability, and performance. Collaborate directly with customers and stakeholders to understand business problems and deliver technically sound solutions. Stay current with AI research and industry trends including model quantization, transformers, and vector databases and integrate advancements into platform architecture. Fine-tune and deploy LLMs (Large Language Models) using frameworks like PyTorch and Hugging Face Transformers. Provide mentorship to engineering teams and contribute to a culture of technical excellence and innovation. Optimize models for deployment in real-world environments with a focus on latency, scalability, and resource efficiency. Translate business problems into AI opportunities and present solutions to internal and external stakeholders. Preferred Skills & Expertise Strong background in deep learning, natural language processing (NLP), and LLMs. Experience with PyTorch, transformers, and AI model quantization and deployment. Production-level experience in deploying ML models in enterprise SaaS environments. Working knowledge of vector databases and semantic search optimization. Proven experience in PoC development, technical solution design, and delivering enterprise AI solutions. Familiarity with cloud platforms (e.g., Azure AI, AWS, GCP) for model hosting and orchestration. Qualitative Expectations Strong ownership mindset you own problems end-to-end and proactively fill knowledge gaps to deliver solutions. Thrive in fast-paced, evolving environments with loosely defined problems and multiple priorities. Excellent communicator with the ability to present technical concepts to both technical and non-technical audiences. Passionate about learning and sharing findings with peers; an enthusiastic self-starter and collaborator. Strong track record of innovation and continuous improvement. Education & Experience Master s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. 10+ years of professional experience in AI/ML, with hands-on experience designing, deploying, and scaling machine learning systems in production. Work at the forefront of enterprise AI and LLM innovation. Collaborate with world-class engineering, research, and product teams. Contribute to the development of AI products used by global enterprises. Competitive compensation and professional growth opportunities. Apply now to join us as an AI Solution Architect in Hyderabad. Qualification : Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline.

Position: IBM Maximo Techno Functional Consultant Location: Hyderabad, India Employment Type: Full-Time, Salaried Compensation: Base Salary, Bonus, Benefits About Innovapptive: Innovapptive is transforming industrial operations by uniting front-line workers, back-office teams, and assets on a single connected worker platform. Our patented, Code-Free platform for SAP and IBM Maximo digitizes and automates traditionally paper-based, labor-intensive processes in maintenance, operations, and supply chain. With real-time visibility and mobile-first apps, we empower front-line workers and back-office teams alike. Global leaders like Newmont Mining, Shell, UNICEF, and Reckitt Benckiser rely on us to improve asset uptime, productivity, and safety saving millions annually. Supported by marquee investors Tiger Global Management and Vista Equity Partners, we are committed to innovation, growth, and making a real impact on the industrial workforce worldwide. Role Overview: As an IBM Maximo Techno Functional Consultant, you will engage with plant maintenance leaders to provide expert consulting on process improvements, mobility best practices, and solution adoption. You will lead solution design workshops, deliver value-driven digital transformations, and mentor teams to maximize the impact of Innovapptive s cloud-based SaaS solutions. How You Will Make an Impact: Understand customer Maintenance & Repair Operations, Plant Maintenance processes, and Asset Management integration points, especially in Oil & Gas, Chemicals, Utilities, and Manufacturing. Communicate business benefits and ROI of Innovapptive s solutions to client leadership. Guide customers through process digitization, solution design, and user adoption best practices. Provide and document best-practice solutions and alternatives for business challenges. Mentor Development and Implementation teams on technical designs and configuration. Manage multiple tasks in a fast-paced environment, ensuring high-quality project delivery. What You Bring to the Team: Bachelor s Degree in IT, Computer Engineering, or Computer Science. 5-8 years hands-on IBM Maximo functional solution design experience (requirement gathering, prioritization, documentation, consulting, configuring). 1+ years industry experience in Chemicals, Oil & Gas, or Utilities. 4+ years IBM Maximo Techno Functional implementation experience. Deep knowledge of IBM Maximo EAM, including enterprise asset and work management, spare parts management. Expertise in Maximo Web Application and Anywhere/Mobile. Strong understanding of Maximo modules, object structure, and attributes. Preferred knowledge of Maximo industry solutions (Oil & Gas, Nuclear, Utilities). Proficiency in PLSQL/MSSQL, Maximo 7.x+, BIRT Reporting. Experience troubleshooting Maximo configuration and integration issues. Familiarity with Maximo deployment, license management, patching, API enablement. Knowledge of OpenShift and Linux is a plus. Experience managing small teams (2-4 members) and delivering training. Soft Skills: Strong analytical and problem-solving skills in technical and business contexts. Excellent communication and client engagement abilities. Passionate about innovation, customer success, and digital transformation. Willingness and ability to travel as needed for client and team collaboration. What We Offer: An open, innovative, and collaborative work environment. Entrepreneurial spirit with unlimited growth opportunities. The chance to work with leading global brands on impactful projects. Competitive base salary and bonus structure. Generous vacation and paid time off. Comprehensive medical insurance for family (self, spouse, children, parents/in-laws). Paid maternity and paternity leave. Bi-annual transparent performance reviews. OKR-driven performance and development culture. Access to a wide range of e-learning courses (technical, product, process). Active interest groups and clubs (Book Reading, Toastmasters, Sports, Music, etc.). Innovapptive is an equal opportunity employer committed to a diverse and inclusive workplace. We welcome applicants regardless of race, religion, gender, disability, veteran status, or any legally protected status. Qualification : Bachelors Degree in IT, Computer Engineering, or Computer Science.

Position: Technical Consultant Location: Hyderabad, India Employment Type: Full-Time, Salaried Compensation: Base Salary, Bonus, Benefits About Innovapptive: Innovapptive is revolutionizing industrial operations by uniting front-line workers, back-office teams, and assets on a patented, Code-Free connected worker platform integrated with SAP and IBM Maximo. Our mobile-first SaaS solutions digitize and automate traditionally paper-based maintenance, operations, and supply chain processes for some of the world s largest brands like Shell, UNICEF, and Reckitt Benckiser. Backed by Tiger Global Management and Vista Equity Partners, we re on a mission to empower 350 million industrial workers globally by improving productivity, safety, and operational excellence. Role Overview: We are seeking a Technical Consultant to collaborate closely with customers, product managers, and professional services teams. You will define integration architectures, guide SaaS adoption, and lead the design and implementation of scalable cloud and middleware solutions aligned with customer IT strategies. This role blends architecture, hands-on implementation, and cross-functional collaboration to deliver innovative industrial SaaS integrations. Key Responsibilities: Cloud Architecture & Solution Advisory Engage with customer architects/SMEs to design secure, scalable cloud deployments (AWS mandatory; Azure/GCP optional) Recommend best practices for SaaS adoption, API strategy, middleware, and cloud security Define and enforce architectural standards and governance Integration Solutioning Analyze ERP/CRM systems (SAP PM/MM, Maximo, Salesforce, Oracle) and design middleware integrations (CPI, BTP, MuleSoft, PI/PO, Dell Boomi) Lead integration planning and mapping workshops with clients ETL & Data Flow Enablement Architect ETL pipelines and data transformation rules ensuring clean, secure data flows Implement reliable data ingestion via APIs, OData, REST, SOAP, and event-driven methods Security, IAM & Compliance Implement best practices for data security including OAuth 2.0, OpenID, TLS/SSL, encryption (AES, RSA) Support identity federation (SSO, MFA, Azure AD, Okta) Ensure compliance with GDPR, CCPA, and other data privacy regulations Monitor security logs and support incident response Deployment & Customer Support Support solution deployment and post-go-live activities ensuring stability and performance Guide clients through testing, rollout, and knowledge transfer Collaboration & Enablement Serve as liaison between customers, product engineering, and delivery teams Provide enablement and training for client IT teams What You Bring: Bachelor s degree in Computer Science, IT, or related field 5-8 years experience in Enterprise SaaS Integration and Cloud Architecture Experience integrating SaaS with ERP/CRM systems (SAP PM/MM, Maximo, Oracle, Salesforce) Expertise in REST/OData/SOAP web services, middleware (CPI/BTP/MuleSoft/ESB), and scripting Hands-on experience with AWS (mandatory), Azure or GCP Strong knowledge of networking/security protocols (HTTPS, IPsec, TLS), IAM (SSO, MFA), API management Familiarity with integration/security tools (Postman, Swagger, Wireshark, Fiddler) Knowledge of encryption, data privacy laws, and secure API endpoint management Bonus: SAP backend experience, SMP SDK, SAP HANA, TOGAF certification, mobile field ops solutions, Connected Worker tech Startup mindset: adaptable, proactive, results-driven Soft Skills: Strong problem-solving and analytical thinking Excellent communication and client-facing skills Passion for innovation, customer success, and digital transformation Willingness to travel to client sites as needed Work with a highly innovative team and cutting-edge technology Grow your career in a fast-paced, entrepreneurial environment Collaborate with global brands on impactful projects Competitive salary and comprehensive benefits including medical insurance for family, paid parental leave, and generous PTO Continuous learning and development opportunities Inclusive and diverse workplace culture Innovapptive does not accept unsolicited resumes from recruitment firms. Innovapptive is an equal opportunity employer committed to diversity and inclusion. All qualified applicants will receive consideration without regard to protected characteristics under applicable laws. Qualification : Bachelors degree in Computer Science, IT, or related field.