Model Development Jobs in Hyderabad

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.

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.

Senior Data Scientist Data | Hyderabad, India | Full-Time About Salesforce We re Salesforce, the Customer Company, empowering businesses worldwide with AI, Data, and CRM. We believe business is a platform for change helping companies innovate, grow, and connect with customers in new ways. Join us to be a Trailblazer driving your career and impacting the future of business. Role Overview We re seeking an experienced Senior Data Scientist to lead development of advanced marketing attribution, causal inference, and uplift models that enhance marketing effectiveness and efficiency. You will design experiments, establish consistent measurement frameworks, and deliver impactful data-driven insights supporting marketing, customer engagement, and digital initiatives. You will own the full model lifecycle from ideation and prototyping to deployment and ongoing production monitoring ensuring rigor, scalability, and ethical application aligned with Salesforce s core value of Trust. Key Responsibilities Develop sophisticated statistical and machine learning models to optimize marketing investments (e.g., attribution, uplift, causal inference). Create algorithms for marketing spend optimization and ROI improvement across multiple channels. Lead full lifecycle model development: data exploration, design, testing, deployment, monitoring, and tuning. Design statistically sound experiments (A/B, multi-cell) to measure marketing and campaign impact. Collaborate cross-functionally with marketing, engineering, and analytics teams to operationalize measurement and experimentation frameworks. Stay updated on innovations in SaaS, AdTech, paid media, and analytics to continuously evolve modeling approaches. Advocate responsible and ethical use of data and models in line with company policies. Required Skills & Experience Master s or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields. 8+ years of hands-on experience designing marketing optimization models (multi-channel attribution, uplift, customer lifetime value, propensity). Extensive experience in experiment design and causal inference for business impact evaluation. Strong programming skills in Python, R, PySpark, Java. Expert-level SQL skills for large-scale data exploration and manipulation. Experience with cloud platforms like GCP or AWS for scalable model development and deployment preferred. Exceptional quantitative reasoning and ability to translate analysis into actionable business insights. Excellent communication skills, capable of collaborating across diverse teams. Creative problem-solving mindset with ability to simplify complex challenges. Experience with B2B customer data and Salesforce products is a plus. Work on high-impact projects using state-of-the-art AI and analytics technologies. Collaborate with top-tier data science and marketing experts. Thrive in an innovative, inclusive culture that values Trust and continuous learning. Drive real-world business transformation at a global scale. If you are passionate about marketing science and advanced analytics, and want to lead innovation in a fast-paced environment, we encourage you to apply! Qualification : Masters or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields.

Senior MLOps Engineer Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years (with 3 years specifically in ML Engineering) Company: Blend About Blend: Blend is a premier AI services provider committed to driving meaningful impact through data science, AI, and technology. We empower businesses by seamlessly aligning human expertise with artificial intelligence to unlock innovation and value. Job Summary: We are looking for a Senior MLOps Engineer with deep expertise in building, deploying, and managing ML pipelines on AWS. The ideal candidate will have hands-on experience with Amazon SageMaker and a strong foundation in Infrastructure as Code to support scalable and reliable ML operations. Key Responsibilities: Maintain and enhance ML pipelines on AWS, focusing on Infrastructure as Code (IaC) using CloudFormation. Implement essential pipeline extensions to support ongoing data science workflows. Document infrastructure usage, system architecture, and designs using tools such as Confluence, GitHub Wikis, and system diagrams. Serve as the internal expert on ML infrastructure, collaborating closely with data scientists to guide and support model deployment. Research and apply optimization strategies for ML workflows and infrastructure performance. Work independently and collaboratively with cross-functional teams to support ML product deployment and platform migration initiatives. Qualifications: 5+ years of hands-on DevOps experience with AWS Cloud. Proven track record of deploying at least two MLOps projects using Amazon SageMaker or similar AWS ML services. Strong proficiency in AWS services including SageMaker, ECR, S3, Lambda, and Step Functions. Expertise in Infrastructure as Code with CloudFormation across development, testing, and production environments. Solid understanding of MLOps best practices and fundamental data science principles. Proficient in Python for scripting and automation tasks. Experience with building and managing Docker images. Hands-on experience with Git-based version control systems such as AWS CodeCommit or GitHub, including GitHub Actions for CI/CD pipelines. Work with cutting-edge AI and ML technologies in a highly innovative environment. Collaborate with top-tier experts in data science and cloud engineering. Opportunities for professional growth, mentorship, and certification support. Competitive compensation package and dynamic work culture. Interested? Apply now to be part of Blend s mission to revolutionize AI-driven innovation!

Software Engineer III - Artificial Intelligence/Machine Learning Company: Google Location: Hyderabad, Telangana, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience in data structures or algorithms. 1 year of experience in one or more of the following: Speech/audio technologies (e.g., voice recognition), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience developing accessible technologies. About the Job Google's software engineers work on next-generation technologies that reshape how billions of users connect, explore, and interact with information. Our projects scale massively and extend well beyond web search. We're looking for engineers who can bring fresh ideas from diverse areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile technologies. As a software engineer, you will focus on critical projects and have opportunities to switch teams and roles as Google s fast-paced business grows. We need engineers who are versatile, demonstrate leadership skills, and are eager to tackle new challenges across the full-stack to help push technology forward. Our mission is to organize the world's information and make it universally accessible and useful. The Devices & Services team at Google combines AI, software, and hardware to create groundbreaking user experiences. We research, design, and develop new technologies to make user interactions faster, seamless, and more powerful. Whether capturing new ways to sense the world, advancing form factors, or improving interaction methods, the Devices & Services team is making a positive impact on people's lives through technology. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation and educational content, adapting it based on updates and feedback. Triage product or system issues, debug, track, and resolve them by analyzing the sources of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilizing ML infrastructure and contributing to model optimization and data processing. Qualification : Bachelors degree or equivalent practical experience.

Principal Engineer AI/ML (Hybrid) Location: Hyderabad, India Company: Collins Aerospace (Raytheon Technologies) Experience: 8+ Years Overview Join our Applied Research & Technology (ART) department as a Principal Engineer in AI/ML. Be part of a global team driving innovation in aerospace through advanced technologies like AI/ML, Cloud, and emerging software solutions. Key Responsibilities Lead AI/ML software architecture, development, and deployment. Deliver proof-of-concepts and technology demonstrators across global R&D teams. Contribute to international conferences and publish research papers. Identify and explore disruptive trends in AI/ML, CV, NLP, and Generative AI. Skills & Qualifications Proficiency in Python and one of C/C++/C#/Java. Strong background in AI/ML for embedded or cloud platforms (AWS preferred). Hands-on experience with MLOps and software pipelines. 8+ years in software/AI roles; 2+ years in technical leadership. Bachelor's or Master s in CS, Electronics, or Avionics. AI/ML certifications; Agile/Scrum Master certification preferred. Benefits Group health, life, and accident insurance Transportation and meal vouchers Car lease, LTA, fuel & maintenance support 18 vacation days + 12 contingency leave Employee Scholar Program and pension plan Apply Now Be a pioneer in AI/ML innovation in aerospace. Apply today and help us shape tomorrow s flight technology. Equal Opportunity Statement RTX is an equal opportunity employer. All qualified candidates will receive consideration without regard to race, gender, religion, sexual orientation, or disability status. Qualification : Bachelor's or Masters in CS, Electronics, or Avionics.

Sr Engineer/Sr. Lead - Generative AI Location: Hyderabad, Telangana, India Company: Qualcomm India Private Limited General Summary Qualcomm is seeking an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team. In this role, you will develop and deploy advanced generative AI systems, focusing on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and intelligent agent frameworks. Minimum Qualifications Bachelor's degree and 3+ years of software engineering experience, or Master's degree and 2+ years, or Ph.D. with 1+ year of related experience 2+ years of academic or work experience in programming languages such as C, C++, Java, or Python Key Responsibilities Design and implement RAG-based solutions integrating LLMs with external knowledge sources Fine-tune LLMs for specific domains and use cases Develop evaluation frameworks to benchmark and improve generative model performance Build and manage agentic workflows for autonomous AI systems Collaborate with product, engineering, and research teams on AI integration Required Qualifications Bachelor's or Master's in Computer Science or related field 3+ years of experience in Machine Learning/AI engineering Expertise in Python and ML libraries/frameworks like PyTorch and TensorFlow Hands-on experience deploying and fine-tuning LLMs Experience with vector databases and embedding models Familiarity with AI/ML infrastructure on cloud platforms (AWS, GCP, Azure) Strong understanding of RAG architecture Preferred Qualifications Experience with Langchain, LlamaIndex, or Hugging Face Transformers Knowledge of prompt engineering and chain-of-thought reasoning Experience with microservices and containerization (e.g., Docker, Kubernetes) Background in NLP, deep learning, and reinforcement learning Contributions to open-source AI projects Familiarity with MLOps and model deployment pipelines Skills & Competencies Strong problem-solving and analytical mindset Excellent communication and collaboration skills Ability to manage multiple projects in agile environments Focus on clean, maintainable, and efficient code Awareness of ethical AI practices and responsible development Qualification : Bachelor's or Master's in Computer Science or related field

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.

React JS Lead Experience: 6 - 10+ Year Employment type: Permanent Job function: Information Technology Location: Hyderabad Job Responsibilities: At least 5 years of software development experience having a focus on front-end & back-end development. 2+ years of experience in ReactJS, Node Js Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model Experience with popular React.js workflows (such as Flux or Redux) Experience with data structure libraries (e.g., Immutable.js) Knowledge of isomorphic React is a plus Familiarity with RESTful APIs Knowledge of modern authorization mechanisms, such as JSON Web Token Familiarity with modern front-end build pipelines and tools Experience with common front-end development tools such as Babel, Webpack, NPM, etc. Ability to understand business requirements and translate them into technical requirements A knack for benchmarking and optimization Employee Benefits: 5 day working Free Lunch and Snacks Festivals, family day and team outing Health insurance Flexi working environment Company Sponsored certifications Travel opportunities Bonuses- Fixed, variable, project linked, referral etc. Disclaimer: Machint is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Machint is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.machint.com and Follow us on Twitter, Facebook, LinkedIn, and YouTube.

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.

Job Requirements What you will do Responsible for the development of new and enhancements of existing SFDC Platform and Force.com cloud-based applications, including systems analysis, design, development, implementation, and maintenance. Responsible for developing in Visualforce, Apex, Java, AJAX, and other technologies to build customized solutions that support business requirements and drive key business decisions Experience in designing and developing software components and having a very strong Service Oriented Architecture and integration background Salesforce.com integration experience, including between different business systems as well as working with integration tools and developing custom integration solutions Technical leadership, setting best practices including integration and application development, deployment, testing (unit and systems), and iterative refinement Design, implement and support features for the Salesforce Communities Essential Qualifications 5+ years of experience in a corporate technology environment developing SFDC technology programs is required. Strong knowledge of Salesforce.com (SFDC) APEX code design techniques and methodologies including development tools, quality assurance/control. years of experience functioning as Salesforce.com administrator for Enterprise edition or higher Solid understanding of system architecture and system design (SFDC /CRM and Force.com) is required. Experience in integrating enterprise applications with other API enabled Business Systems (i.e., Salesforce.com, NetSuite, Jira, Microsoft Office 365, Eloqua/ other marketing solutions etc.), is considered to be a plus VisualForce and Sites page development. Experience with technologies integral to Salesforce.com including: HTML/XHTML, jQuery, JavaScript, AJAX, SQL, SOAP, REST, JSON, Apex, SOQL and Triggers. Experience in moving code from lower sandboxes to the production environment and address issues related to functionality, integration, etc. Salesforce.com Communities, Partner/Customer Portal implementation, Knowledge Base Experience with Salesforce.com security model and sharing rules. Experience in troubleshooting and working with end-users to ensure that applications meet theirs. Develop and create customized reports and dashboards Keep abreast of new Salesforce features and functionality. Ability to think through multiple solutions to a problem set and look ahead for possible conflicts. Ability to communicate effectively both written and verbally Certifications and nice to haves: In-depth understanding of the capabilities and constraints of the SFDC CRM application coupled with a good understanding of the business processes (Client Support, Sales, Marketing, Partner Management, etc.). Administrator/Development Salesforce.com certifications DEV 201 and DEV 401 Added advantage.

Job Requirements What You Will Do: Design, develop, and configure customized solutions for enhancements and projects using the full CPQ toolset. Provide day-to-day CPQ platform and user support. Define, estimate, and shape CPQ technical solutions following best practices. Maintain and configure development and test instances for internal sandboxes. Participate in business meetings with BSAs to understand requirements. Resolve issues in UAT and provide post-production support for CPQ functionality. Stay updated with new features and technologies, proactively exploring ways to maximize their potential. Contribute to building and troubleshooting process automation across the Salesforce instance. Implement scalable solutions while advocating for best practices. Work closely with end-users to assess business requirements, support change, and ensure a high-quality customer experience. Collaborate in a virtual team environment, sharing expertise across different geographies. Candidate Profile: Hands-on expertise in Salesforce CPQ. Experience implementing Salesforce CPQ in Agile software development environments. Strong background in all phases of software development, including requirement gathering, analysis, design, development, implementation, integration, and enhancement in Salesforce projects. Proficiency in Apex Classes, Visualforce, Triggers, Workflow Rules, Assignment Rules, Approval Processes, Validation Rules, Apex Triggers, and Test Classes. Experience in configuration, customization, and development using the full CPQ toolset. Essential Qualifications: Salesforce CPQ developer role with hands-on coding ability. 5+ years of experience in Salesforce, with at least 2 years in CPQ development (Apex/Visualforce). Strong knowledge of Salesforce.com, Force.com platform, APEX programming, Salesforce configuration, security model, AppExchange applications, LWC, and CPQ. Technical expertise in OOP concepts, programming languages, and web-based applications. Knowledge of data migration, integration tools, APIs, and web services. Salesforce CPQ certification is preferred.

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.

Job Title: Java Developer IBM Consulting Introduction In this role, you ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer clients locally based skills and technical expertise to drive innovation and adoption of new technology. A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe. You ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including IBM Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation for success in IBM Consulting. In your role, you ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. Your Role and Responsibilities Design and develop Java components using the Spring framework to implement transaction management. Manage Java objects and enterprise integration needs involving messages, routers, transformations, adapters, service activators, management, and auditing. Develop and support application solutions to meet customer requirements. Create technical specifications and unit test cases. Perform application unit testing, translate business and IT (Information Technology) requirements, and interpret data models. Participate in the development of the system test plan and provide technical leadership in system integration testing. Contribute to user acceptance testing and ensure successful implementation. Apply expertise in Dependency Injection/Inversion of Control, Aspect-Oriented Programming, Data Access Framework, Transaction Management Framework, Batch Processing, and ORM framework Hibernate. Required Technical and Professional Expertise BE / B.Tech in any stream, M.Sc. (Computer Science/IT) or M.C.A. 3-5 years of experience in software development. Working knowledge of Java 8 or higher. Proven experience with Spring and Hibernate (Spring 4 or above). Strong understanding of Object-Oriented Programming (OOP) concepts. Proficiency in Exception Handling, Collections, Abstract Classes and Interfaces, Constructors, File I/O, Serialization, Collections (List, Map, Set), Access Specifiers, and Multithreading and Synchronization. Familiarity with Java Keywords (Static, Final, Volatile, Synchronized, Transient), JVM (Java Virtual Machine) and Memory Management. Experience working with JSP (Java Server Page) / Servlets. Preferred Technical and Professional Expertise Experience with build tools such as Ant, Maven, and Git. Knowledge of design patterns and their optimized usage. Proven work experience with Spring Core, Spring ORM, Spring DAO, Spring AOP, and Hibernate. Work on cutting-edge technologies in a global and innovative environment. Collaborate with industry-leading professionals and visionaries. Enjoy excellent career growth opportunities and continuous learning. Contribute to transformative projects that shape the future of technology. Qualification : BE / B.Tech in any stream,M.Sc. (Computer Science/IT) or M.C.A

Job Title: Manager - Data Science Location: Hyderabad Department: Data Science Employment Type: Full-Time, Permanent Role Overview: As a Manager - Data Science at Blend, you won t just manage you'll lead by doing. This role demands strong hands-on expertise in Machine Learning (ML), Generative AI, Python, SQL, and any cloud environment (GCP, Azure, or AWS). You will stay deeply engaged in the technical side while mentoring and growing a high-performing team. You ll be responsible for leading end-to-end AI/ML project execution, collaborating with cross-functional teams, and driving innovation within Blend's Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, we d love to have you on board! Key Responsibilities: Delivery & Project Management: Lead the development and implementation of ML models, Generative AI solutions, and predictive analytics. Perform data mining, feature engineering, and statistical analysis to extract meaningful insights. Own project roadmaps, ensure quality control, and drive timely delivery of projects. Collaborate with Data Engineering teams to deploy and operationalize ML models. Automate and optimize workflows to enhance efficiency and streamline processes. Practice Development: Contribute to the scaling of Blend s Data Science practice by building new capabilities. Design industry-specific AI/ML solutions and contribute to thought leadership in AI/ML. Evaluate emerging AI trends and tools and integrate them into Blend s ecosystem. Lead innovation initiatives, research, and internal AI development. People & Leadership: Mentor and develop a high-performance data science team. Guide team members' career development and set performance benchmarks. Collaborate with cross-functional teams to ensure seamless execution of projects. Qualifications: Experience: 8+ years in Data Science & AI, with hands-on expertise in ML, Generative AI, Python, and SQL. Strong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.). Proven experience in end-to-end ML deployment, including working with Azure, AWS, GCP, or Databricks. Industry Expertise: Demonstrated ability to solve complex business challenges in Retail, CPG, BFSI, Healthcare, or eCommerce. In-depth understanding of statistics, probability, stochastic processes, and causal inference. Excellent communication skills with the ability to explain AI concepts to non-technical stakeholders. Experience with big data tools such as Hadoop, Hive, PySpark, and ML pipelines. Bonus: Experience with Google Analytics, Adobe Analytics, or digital marketing analytics. Education: Bachelor s/Master s degree in Computer Science, Statistics, Math, Operations Research, or a related field. What You Get in Return: Competitive Salary: Your skills and contributions are highly valued, and we ensure your salary reflects your expertise and experience. Dynamic Career Growth: Our vibrant environment offers opportunities for rapid growth, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks: Our Idea Tanks offer a space for you to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats: Engage in casual Growth Chats to learn from the best, whether it s over lunch or a laid-back session with peers. Snack Zone: Enjoy a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards: Expect regular Hive-Fives, shoutouts, and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We support your growth by covering the cost of certifications to level up your skills. If you're ready to lead cutting-edge AI projects and grow within a dynamic team, Blend is the place for you. Apply today to be part of an innovative and collaborative culture! Qualification : Bachelors/Masters degree inComputer Science, Statistics, Math, Operations Research, or a related field.

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.

About the Job Like Google's own ambitions, the role of a Software Engineering Manager goes beyond Search. This position combines technical leadership with team management to drive high-impact AI/ML projects while enabling engineers to deliver their best work. You ll manage project goals, product strategy, and team development, ensuring that both innovation and execution stay at the forefront. Google s engineering teams tackle challenges across AI, natural language processing, large-scale system design, distributed computing, security, and more. As a manager, you ll guide the team in exploring new technologies while building AI/ML solutions that scale for Google's IT and Support business, driving efficiencies at scale through automation. In Corp Eng, we deliver world-class business solutions for all Googlers. By combining AI, ML, and automation, we help improve processes, build impactful solutions, and empower teams to create more helpful products and services. Simply put: We are Google for Googlers. Responsibilities Lead a team of engineers, driving technical strategy and execution of key AI/ML projects, ensuring timely and high-quality delivery. Build applied ML products using the latest ML techniques and tools (e.g., TensorFlow, deep learning, natural language processing). Drive engineering projects and ML model development to enable agentic automation and deliver scalable solutions. Collaborate with leadership across functions to identify new opportunities, design solutions, and shape the vision for AI/ML in the IT and Support space. Minimum Qualifications Bachelor s degree in Computer Science, a related technical field, or equivalent practical experience. 8 years of experience in software development using one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow) or applied ML (e.g., deep learning, natural language processing). 3 years of technical leadership experience, including 2 years in people management or team supervision. Preferred Qualifications Master s degree or PhD in Engineering, Computer Science, or a related technical field. Strong knowledge of AI/ML algorithms, techniques, and tools. Excellent problem-solving, analytical, and communication skills.

About HSBC If you're looking for a career that will help you stand out, join HSBC and fulfill your potential. Whether you want a career that could take you to the top or simply take you in an exciting new direction, HSBC offers opportunities, support, and rewards that will take you further. HSBC is one of the largest banking and financial services organizations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and ultimately helping people fulfill their hopes and realize their ambitions. The Role We are currently seeking an experienced professional to join our team as a Project Manager. In this role, you will lead the design, development, and implementation of scalable, event-driven systems that bridge the gap between legacy and modern platforms. Your role will be pivotal in ensuring seamless communication, driving the integration of platforms, and leading end-to-end development efforts to deliver robust IT solutions. Principal Responsibilities Events Architecture and Development: Design, develop, and implement scalable, event-driven systems to ensure seamless integration and communication between legacy and modern platforms. Integration Expertise: Lead efforts to integrate legacy platforms with new systems while ensuring minimal downtime and maximum operational efficiency. Full Stack Development: Drive the full-stack development of applications, overseeing both front-end and back-end technologies. Technology Leadership: Provide technical guidance and leadership in the adoption of event-driven and microservices architectures, ensuring alignment with business and technical objectives. Collaboration: Work closely with cross-functional teams, including product managers, architects, and engineers, to deliver robust IT solutions that meet business needs. Stakeholder Engagement: Present technical designs, strategies, and outcomes to senior executives and key stakeholders in a clear and concise manner. Quality Assurance: Oversee quality assurance processes to ensure all deliverables meet the highest standards through rigorous testing and peer reviews. Documentation and Best Practices: Develop comprehensive technical documentation, contribute to organizational knowledge, and promote adherence to best practices across the team. Requirements Experience: 10-15 years of IT experience, including substantial experience in leading enterprise application development, delivery, and support. Project Management Expertise: Solid understanding of software development life cycle models, with expert knowledge of both Agile and traditional project management methodologies. Ability to blend these practices effectively to suit the project and business environment. System Integration: Proven success in integrating legacy systems with modern platforms. Cloud Platforms: Experience with cloud platforms like AWS, Azure, or GCP, focusing on serverless and event-driven services. Event Streaming Technologies: Familiarity with tools like Apache Kafka, RabbitMQ, or other event-streaming technologies. Database Experience: Hands-on experience with both relational (SQL) and NoSQL databases. Agile and SCRUM: Prior experience with SCRUM/Agile methodologies in enterprise-level application development projects. CI/CD & DevOps: Exposure to CI/CD pipelines, containerization (Docker), and orchestration tools (Kubernetes). Strong technical capabilities in DevOps, SAFe, and Agile control frameworks. Cloud Computing & Microservices: Experience in executing projects involving cloud computing, APIs, and microservices. Leadership & Mentorship: Proven ability to mentor, develop talent, and motivate teams to achieve optimal performance levels and career development. Stakeholder Management: Strong ability to translate technical details into business insights, and confidently present ideas and strategies to senior stakeholders and executives. Global Presence: Work for one of the largest financial services institutions in the world with operations across 64 countries and territories. Career Growth: Leverage HSBC s opportunities for professional development and career progression. Impactful Work: Play a key role in driving technological innovation and contributing to the future of global financial services. Qualification : At least 10 15 years of IT experience, including exposure to planning, leading, managing enterprise application development, delivery, and support.

Job Summary SAP BTP (Business Technology Platform) Developer will focus on SAP S/4HANA Private and Public cloud and other SAP surround systems (Fieldglass, Concur, Ariba, Success Factors). As a key member of our SAP practice, you will play a pivotal role in shaping our clients digital transformation journey. Your expertise in SAP BTP will drive successful implementations, enhance business processes, and deliver value to our clients. In your role you will support to analyse business requirements, and design and implement SAP BTP solutions. Qualifications Good technical skills and experience writing commercial-grade applications on SAP BTP are required Understand Micro-service Architecture, SAP Cloud Foundry features & capabilities Experience on Hana Cloud HDI Containers with SQL Script, PL/SQL, Stored Procedures, Designing tables, calculation views Core Data Services (CDS) with Strong Cloud Application Programing model(CAPM), OData & JavaScript Experience Knowledge of BTP Services Identity Services, XSUAA Hands-on experience with SAP Business Application Studio (BAS), GIT, and DevOps 4 - 6 years of experience in designing and developing SAP application At least 3+ years in BTP apps development Experience working with DevOps: Understanding of DevOps principles, including Continuous Integration/Continuous Delivery (CI/CD) processes, experience deploying and maintaining applications using Github The ideal candidate will have extensive expertise in HANA Data Modeling API ABAP OOPS ABAP Development for SAP HANA and FIORI APPS This role requires a deep understanding of technical and domain skills to drive innovative solutions and enhance our business processes Possess extensive experience in HANA Data Modeling API ABAP OOPS ABAP Development for SAP HANA and FIORI APPS Demonstrate strong problem-solving skills and the ability to troubleshoot complex technical issues Exhibit excellent communication and collaboration skills to work effectively with cross-functional teams Responsibilities Design, develop, and deploy cloud-based applications on the SAP BTP platform using SAP Cloud Platform tools and technologies such as, JavaScript, and Java, including multitenant aware apps Collaborate with cross-functional teams to define requirements and create technical specifications for new applications and enhancements Integrate SAP BTP applications with various SAP and non-SAP systems using integration technologies such as OData, REST, and SOAP Develop and maintain SAP BTP extensions and add-ons for existing SAP solutions such as S/4HANA Ensure adherence to best practices and standards in SAP BTP development, including following the SAP Fiori Design Guidelines Implement application security using SAP BTP services like SAP Cloud Identity, Single Sign-On, and OAuth 2.0 Perform unit testing, integration testing, and performance testing to ensure the quality of developed applications Troubleshoot and resolve technical issues related to application development, deployment, and operation Provide technical documentation for developed applications, including design documents, user guides, and troubleshooting guides Stay updated with the latest developments in SAP BTP and provide recommendations on new technologies and tools for continuous improvement Analyze and resolve significant, sophisticated, high-impact production problems, assessing alternatives as appropriate and implementing solutions Ability to review the work of contractors and come up with standard methodologies Balance multiple tasks and be flexible in switching between different tasks Work with multi-regional teams across different time zones. Preferred: SAP BTP certification in any of the Integration and cloud development. (SAP Certified Associate - Backend Developer - SAP Cloud Application Programming Model, SAP Certified Associate - Integration Developer, SAP Certified Associate - Back-End Developer - ABAP Cloud Qualification : 4 - 6 years of experience in designing and developing SAP application

General Summary: This role involves developing software for Qualcomm technologies, with a focus on Android frameworks, Linux user mode, and kernel drivers. The ideal candidate will contribute to innovative solutions and demonstrate strong technical skills in C/C++, operating systems, and embedded systems. Key Responsibilities: Development & Programming: Utilize strong C/C++ programming skills for software development. Work on Android frameworks, Linux user mode, and kernel driver development. Embedded Systems Expertise: Develop and debug embedded systems, including working with hardware boards. Use JTAG-based debugging tools for troubleshooting. Multimedia Focus (Preferred): Contribute to projects in the multimedia domain, such as Display, Camera, Video, and Graphics. System Fundamentals & Processes: Apply a thorough understanding of operating systems and embedded fundamentals. Follow and improve software development life cycles. Minimum Qualifications: Education: Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field with 2+ years of experience. OR Master s degree with 1+ year of experience. OR PhD in a related field. Experience: At least 2+ years of academic or professional experience in programming (C, C++, Java, Python). Preferred Qualifications: 1. Technical Expertise: Knowledge of ARM-based systems. Familiarity with multimedia technologies (Display, Camera, Video, Graphics). 2. Debugging & Hardware: Experience in embedded debugging and hardware interaction (e.g., JTAG). 3. Development Skills: Proven experience with the Android framework or Linux kernel development. 4. Software Development Lifecycle: Well-versed in SDLC practices and principles. Work Environment & Accessibility: Qualcomm is dedicated to providing reasonable accommodations for individuals with disabilities during the hiring process. Equal Opportunity Employer: Qualcomm promotes diversity and prohibits discrimination based on race, gender, disability, or other protected categories. Qualification : Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field with 2+ years of experience.