Windows AI Integration Engineer 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.

Lead Data Scientist Media Mix Modeling (MMM) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 6+ Years Company: Blend About Blend: Blend is a premier AI services provider committed to co-creating meaningful impact through data science, AI, and technology. We harness world-class talent and data-driven strategies to unlock innovation and value for our clients. Our mission is to empower bold visions by seamlessly aligning human expertise with artificial intelligence. Job Summary: We are seeking an experienced Lead Data Scientist with deep expertise in Media Mix Modeling (MMM) to optimize marketing spend and drive strategic insights across multiple media channels. You will leverage statistical modeling and data analytics to provide actionable recommendations that improve marketing effectiveness and business outcomes. Key Responsibilities: Design, develop, and implement Media Mix Models to analyze and optimize marketing spend across channels such as TV, digital, radio, and print. Analyze historical marketing data to measure channel effectiveness and guide budget allocation decisions. Collaborate closely with marketing, business, and analytics teams to translate business goals into quantitative models and insights. Build predictive models to forecast the impact of marketing campaigns and recommend budget reallocation. Present complex analytical findings clearly and effectively to technical and non-technical stakeholders. Conduct detailed analyses of marketing campaigns and customer behavior to uncover trends, opportunities, and optimization areas. Ensure accuracy, consistency, and integrity in all data analyses and model outputs. Stay updated with the latest advances in MMM, marketing analytics, and data science methodologies. Work with cross-functional teams including Data Engineering and BI to ensure smooth data integration and workflow. Document methodologies, models, and analysis processes thoroughly. Qualifications: Bachelor s or Master s degree in Data Science, Statistics, Economics, Mathematics, or a related discipline. Minimum 6 years experience in Media Mix Modeling (MMM) or marketing analytics roles. Strong expertise in statistical modeling methods, including regression analysis and time-series forecasting. Proficiency in programming languages and tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI. Familiarity with marketing data sources such as Nielsen, IRI, social media analytics, and CRM datasets. Excellent analytical skills with the ability to translate data into actionable business insights. Strong communication skills for effective stakeholder engagement across technical and non-technical audiences. Experience working in fast-paced, data-driven environments. Knowledge of machine learning techniques and frameworks is a plus. Preferred Qualifications: Experience handling large datasets and working with cloud platforms like AWS, Azure, or Google Cloud. Understanding of marketing attribution, customer segmentation, and lifetime value (LTV) models. Experience conducting A/B testing and controlled experiments. Background in consulting or marketing agency settings is advantageous. Competitive Salary: Reflecting your skills and impact. Dynamic Career Growth: Fast-track your development with mentorship and challenging projects. Idea Tanks: Collaborate and innovate in our dedicated creativity spaces. Growth Chats: Informal knowledge-sharing sessions to fuel your learning. Snack Zone: Stay energized with a variety of refreshments. Recognition & Rewards: Regular acknowledgment of your contributions and ideas. Certification Support: Grow your skillset with company-supported certification programs. Apply now to become a key player in Blend s analytics team and lead transformative marketing analytics projects. Qualification : Bachelors or Masters degree in Data Science, Statistics, Economics, Mathematics, or a related field.

Test Automation Engineer Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years Company: Blend About Blend: Blend is a leading AI services provider dedicated to driving impactful innovation through data science, AI, and technology. Our mission is to empower businesses by aligning human expertise with artificial intelligence, delivering transformative solutions that create lasting value. Job Summary: We are seeking an experienced Test Automation Engineer to strengthen our quality assurance efforts. You will design and implement automated testing frameworks and strategies that ensure the reliability, stability, and performance of our software products, including rollback testing in continuous integration and deployment environments. Key Responsibilities: Design, develop, and maintain scalable test automation frameworks using tools such as Selenium, Cypress, Playwright, or similar. Implement rollback testing to validate system stability during deployment and rollback cycles. Develop automated test scripts covering regression, smoke, sanity, and performance testing scenarios. Integrate automated tests seamlessly into CI/CD pipelines using tools like Jenkins, GitHub Actions, GitLab CI, or Azure DevOps. Collaborate with development and DevOps teams to identify gaps in test coverage and improve release reliability. Analyze test results, log defects, and support developers in debugging and resolving issues. Create and maintain detailed test plans, test cases, and documentation. Ensure thorough testing across multiple environments including staging, production, and rollback scenarios. Qualifications: Minimum 5 years of experience in test automation using Selenium, Cypress, Playwright, or equivalent tools. Strong understanding of rollback testing and deployment validation techniques. Proficiency in scripting languages such as Python, JavaScript, or Java. Hands-on experience with CI/CD tools and pipelines including Jenkins, GitLab CI, GitHub Actions, or Azure DevOps. Experience testing REST APIs using tools like Postman or REST Assured. Familiarity with version control systems such as Git and GitHub. Exposure to cloud platforms (AWS, Azure, GCP) is a plus. Excellent analytical, problem-solving, and communication skills. Opportunity to work with cutting-edge AI and automation technologies. Collaborative and innovative work environment. Career growth through mentorship and and learning opportunities. Competitive salary and benefits. Apply now to contribute to Blend s mission of delivering world-class AI solutions with top-quality software testing practices.

Principal AI + Windows Engineer Location: Hyderabad, Telangana, India Employment Type: Full-Time About the Role We are hiring a Principal Software Engineer to lead critical initiatives for the flagship Microsoft 365 Copilot App on Windows. Join our high-caliber team in India working at the forefront of AI innovation. You will be a key contributor to building AI-powered features that enhance productivity and collaboration across platforms, including Windows, Mac, Android, iOS, and web. Microsoft 365 Copilot is a transformative AI assistant already used by over 100 million users globally. This is a unique opportunity to impact billions of lives and shape the future of AI-powered productivity at scale. Key Responsibilities Design and implement robust, scalable features for the Windows-based Microsoft 365 Copilot application. Ensure feature integration aligns with overall product architecture and design principles. Develop and maintain automation, write test plans, and provide accurate task estimates. Embrace team-wide best practices for quality, security, and performance. Demonstrate strong ownership, accountability, and a continuous learning mindset. Collaborate across global teams including Product, Design, QA, and Engineering stakeholders. Participate in agile sprints and the full software development life cycle (SDLC). Required Qualifications Bachelor s degree in Computer Science or related technical field AND 6+ years of experience in software engineering, OR equivalent practical experience. Proficiency in one or more programming languages: C, C++, C#, Java, JavaScript, Python. Strong customer-centric mindset and a passion for delivering high-impact experiences. Excellent problem-solving skills and ability to work in fast-paced, ambiguous environments. Outstanding communication and cross-functional collaboration abilities. Preferred Qualifications 10+ years of industry experience OR Master s degree in Computer Science with 8+ years of experience. Background in Office technologies or experience developing for Windows, iOS, Android, or Mac platforms. Familiarity with cloud technologies and services, preferably Microsoft Azure. Hands-on experience with agile methodologies and large-scale commercial software products. At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. We value integrity, respect, accountability, and inclusion. As part of our team, you will be immersed in a culture of innovation and growth where everyone can thrive. Work with Purpose This role offers a once-in-a-career opportunity to work on cutting-edge AI technologies that will redefine how people interact with productivity software. If you are passionate about AI, Windows platforms, and building scalable, elegant, and secure solutions, we want to hear from you. Qualification : Bachelors degree in Computer Science or related technical field AND 6+ years of experience in software engineering, OR equivalent practical experience.

Senior AI + Windows Engineer Location: Hyderabad, Telangana, India Employment Type: Full-Time About the Role The Microsoft 365 Copilot India team is seeking high-caliber Senior Software Engineers to join a strategic initiative building next-generation AI-powered experiences for Microsoft 365 on Windows. Microsoft 365 Copilot is the flagship commercial AI Copilot solution, impacting millions of users globally across platforms (Windows, Mac, Web, Android, and iOS). As a Senior AI + Windows Engineer, you ll help shape key components of the Windows Copilot App, working in a fast-paced and impactful engineering environment with high visibility across the company. Key Responsibilities Collaborate with stakeholders to determine requirements and use cases for Windows-based AI features. Design, implement, and optimize high-performance, maintainable, and scalable code using C/C++ or C#. Participate in all phases of the SDLC design, coding, testing, debugging, and deployment. Develop and execute automation and test plans while providing accurate task estimates. Act as a Designated Responsible Individual (DRI) for system health monitor, respond to outages, and ensure high availability. Mentor junior engineers and support cross-team technical collaboration. Stay current with emerging trends and patterns in AI, distributed systems, and platform performance optimization. Required Qualifications Bachelor s degree in Computer Science or related technical field AND 4+ years of professional software engineering experience. Proficiency in at least one of the following: C, C++, C#, Java, JavaScript, Python. Strong software design, problem-solving, and debugging skills. Ability to rapidly grasp new technologies and systems. Effective communication and collaboration skills across engineering and product teams. Preferred Qualifications Deep experience with Windows platform development. Strong hands-on expertise in C/C++ for native Windows applications. Customer-first mindset and passion for crafting seamless user experiences. Experience with large-scale commercial software products or distributed systems is a plus. Be a part of a team building transformative AI solutions used by hundreds of millions of users. Microsoft fosters a collaborative, inclusive culture and invests in your learning, growth, and well-being. Employee Benefits Industry-leading healthcare coverage Generous time-off and leave policies Access to learning and development resources Employee discounts and savings programs Parental leave and family support benefits Global networking opportunities and giving programs Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, national origin, physical or mental disability, political affiliation, race, religion, sex, sexual orientation, or any other characteristic protected by applicable laws. Qualification : Bachelors degree in Computer Science or related technical field AND 4+ years of professional software engineering experience.

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

Job Opening: Solutions Architect Location: Hyderabad | Full-Time About Kore.ai Kore.ai is a pioneering force in enterprise AI transformation, empowering organizations through our comprehensive agentic AI platform. With innovative offerings across "AI for Service," "AI for Work," and "AI for Process," we enable over 400+ Global 2000 companies to fundamentally reimagine their operations, customer experiences, and employee productivity. Our end-to-end platform enables enterprises to build, deploy, manage, monitor, and continuously improve agentic applications at scale. We've automated over 1 billion interactions every year with voice and digital AI in customer service, and transformed employee experiences for tens of thousands of employees through productivity and AI-driven workflow automation. Recognized as a leader by Gartner, Forrester, IDC, ISG, and Everest, Kore.ai has secured Series D funding of $150M, including strategic investment from NVIDIA to drive Enterprise AI innovation. Founded in 2014 and headquartered in Florida, we maintain a global presence with offices in India, the UK, Germany, Korea, and Japan. About the Role The Solutions Architect will play a key role in translating business requirements into technical specifications and designing cutting-edge solutions to meet customer needs. The role involves creating detailed design documents, defining implementation strategies, and collaborating with teams to develop high-quality, scalable applications. As a leader, you will work closely with clients to propose technical solutions that resolve business issues while driving the overall architecture and technical direction. What You'll Do Design & Architecture: Prepare detailed design documents and approaches using various tools. Define implementation approaches, algorithms, and code structure to meet requirements. Technical Leadership: Lead the analysis, design, and implementation planning of technical/business solutions. Take a cross-team leadership role to ensure the solution aligns with business objectives. Customer Interaction: Interface with customers to understand their technical environments and propose technical solutions to resolve business challenges. Technology Selection: Stay up to date with the latest technologies and tools, evaluating and selecting appropriate technologies as per project requirements. System Integration: Identify interfaces with other products and ensure seamless integration. Work on scaling and optimizing the performance of large systems and web applications. Development & Implementation: Define and create SOAP & RESTful web services. Work on reporting & analytics, and consumer/employee-facing business applications. Qualifications & Experience Experience: 10+ years of overall technical experience with a minimum of 3 years as a Technical Solution Architect. Technical Skills: Experience in OOPS, Multi-threading, JavaScript, jQuery, Node.js, HTML5, CSS3, and user authentication/authorization models. System Design & Architecture: Experience in defining technical solutions, creating technical specifications, and working on large-scale systems and web applications. Experience in API Development: Expertise in SOAP & RESTful web services, along with experience in system integration and reporting & analytics. Nice to Have: Experience in Smartbot development and integrating with NLP engines, and familiarity with AI frameworks and technologies. Education Qualification Graduate in Engineering or Master's in Computer Applications (MCA) preferred. Be a part of a global leader in AI technology, driving transformation in enterprise operations and customer experiences. Work in an innovative environment with cutting-edge technologies, where you ll lead technical solutions that impact global businesses. Collaborate with a talented team and contribute to building scalable, impactful AI applications that are transforming industries. Kore.ai, founded in 2014 by serial entrepreneur Raj Koneru, is headquartered in Florida, USA, with additional offices in India, the UK, Germany, Korea, and Japan. Our diverse and talented team of professionals is committed to driving the future of enterprise AI solutions. We ve earned recognition from top analysts like Gartner, Forrester, and IDC, making us a leader in the AI space. Qualification : Graduate in Engineering or Master's in Computer Applications (MCA) preferred.

Job Title: AWS DevOps Engineer / Architect Location: Hyderabad Job Type: Full-time Salary: Negotiable Position Overview: We are looking for an experienced AWS DevOps Engineer / Architect to join our team. In this role, you will work with a wide range of AWS services and DevOps tools, enabling the efficient deployment and operation of software in cloud environments. The ideal candidate will have extensive experience in AWS architecture, CI/CD, EKS, CloudFormation, and various DevOps tools and technologies. Key Responsibilities: AWS Infrastructure: Design, implement, and manage AWS cloud infrastructure with a focus on CloudFormation, Lambda, EKS, and other AWS services. Containerization and Orchestration: Manage Docker and Kubernetes environments, ensuring seamless container orchestration and deployment. CI/CD Pipelines: Build and maintain CI/CD pipelines using tools like Jenkins, Bamboo, Azure DevOps, and TeamCity. Scripting and Automation: Develop scripts for automation using languages such as Shell, PowerShell, and Python. Monitoring and Logging: Implement monitoring and logging solutions using tools like Datadog, Splunk, and Wiz to track the performance and health of infrastructure. Collaboration: Work closely with development teams to ensure smooth integration and deployment processes. Infrastructure as Code: Write and maintain infrastructure code using Terraform and AWS CloudFormation. Agile Environment: Work in an Agile environment using tools such as JIRA to manage tasks and collaborate with team members. Security and Best Practices: Ensure the security, performance, and scalability of cloud infrastructure, following industry best practices. Microservices: Work with microservice architectures and ensure the efficient deployment and scaling of services. Qualifications: Educational Qualification: Bachelor s degree in Computer Science, Engineering, or a related field. Experience: 5+ years hands-on experience with AWS services, including Lambda, CloudFormation, EKS, CodePipeline. 3+ years experience with Docker and Kubernetes at an enterprise level. 5+ years experience in CI/CD with tools such as Jenkins, Bamboo, Azure DevOps, and TeamCity. Experience with scripting languages like Shell, PowerShell, Python. Knowledge of microservice architecture, API management, and networking concepts such as DNS, Ingress, LB. Experience with monitoring/logging tools like Datadog, Splunk, and Wiz. Linux experience (at least 3+ years) and Windows Server experience (2-3+ years). Additional Skills: Knowledge of C#, .NET, Java, and object-oriented programming concepts is a plus. Experience with version control systems like GitHub, TFS. Familiarity with security best practices in cloud environments. Preferred Qualifications: AWS Certification is a plus (e.g., AWS Certified Solutions Architect or AWS Certified DevOps Engineer). Other Details: Notice Period: Immediate or negotiable Work Environment: Hybrid work model (combination of remote and on-site) Salary: Negotiable based on experience If you are an experienced AWS DevOps Engineer/Architect with a passion for cloud infrastructure, CI/CD, and automation, we would love to hear from you. Join our dynamic team and help drive innovation in cloud architecture and DevOps practices. Qualification : Bachelors degree in Computer Science, Engineering, or a 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.

Job Description Responsibilities Identify projects and initiatives to deliver tangible end user operational improvements across the internal and external IT ecosystem. Collaborate with IT teams to ensure seamless integration with existing systems Engineer and optimize systems to operate within defined SLAs and achieve internal KPIs related to IAM efficiency, security, and performance. Feedback from users on IAM processes (i.e. access request/revoke, access lock down, etc.). Number of help desk tickets related to IAM issues (e.g., login problems, access issues). Implement automation and process improvements to streamline IAM workflows (e.g., automated role definitions, workflow optimization), increasing operational efficiency. Tasks Design and engineer IAM solutions to support the full lifecycle of client identities, from onboarding to offboarding, ensuring secure and efficient processes. Manage and execute changes to IAM systems (e.g., SailPoint, Active Directory, Entra ID), driving system improvements while minimizing disruptions and adhering to change management protocols for security and system stability. Conduct periodic reviews of user access rights and support in forensic analysis and compliance reports. Assist in preparing for internal and external IAM audits, ensuring proper documentation and compliance. Support the implementation of Single Sign-On (SSO) systems across enterprise applications. Troubleshoot authentication issues related to login and access. Ordinary and Extraordinary administration and optimization if IAM systems (e.g., SailPoint, Active Directory, Entra ID), focusing on improving system performance, scalability, and security. Collaborate with help desk and support teams to escalate and manage complex cases. Develop, maintain, and update technical documentation related to system configurations, processes, troubleshooting steps, and resolutions, ensuring high-quality knowledge management. Working with Windows NTFS and DFS services Key competencies for position and level In addition to demonstrating our Global Values (Authentic, Bold, and Collaborative), the role holder will be expected to demonstrate the following: Be a strong team player. Proactive mindset to always look to make improvements. Confident communication skills with the ability to speak to business stakeholders / application owners technical individuals to elicit requirements. Willing to continually learn new skills and technologies. Work well under pressure. Qualifications Education / professional qualifications Graduate degree, preferably in IT related disciplines Microsoft Certifications would be preferred Background experience Hands-on experience with IAM Active Directory and Entra ID on hybrid environment Strong verbal and written communication skills. Knowledge of configuring, troubleshooting, and maintaining IAM tools and systems. Experience of Active Directory, Windows Servers and NTFS permissions. Knowledge of VMware, Azure hosting and SailPoint platform is nice to have. Company, product, and market knowledge Experience of working in a complex, multi-country professional services, financial services or BPO organisation with complex processing requirements preferred but not essential. Multi-country experience and demonstrates an ability to work in a multi-cultural, talented, and demanding team environment. Excellent communication skills in both written and oral form, with staff members, customers, suppliers, and the management team with the ability to make decisions, act and get results. Passion, dynamism, and drive Personal presence, integrity, and credibility Ability to solve problems either independently or by utilising other members of the team where necessary. Ability to focus on priority, when business impact required. Languages Fully proficient spoken and written English, additional European languages will be an asset Company description IQEQ is a preeminent service provider to the alternative asset industry. IQEQ works with managers in multiple capacities ranging from hedge fund, private equity fund, and mutual fund launches; private equity fund administration; advisory firm set-up, regulatory registration and infrastructure design; ongoing regulatory compliance (SEC, CFTC, and 40 Act); financial controls and operational support services; compliance and operational related projects and reviews; and outsourced CFO/controller and administration services to private equity fund investments portfolio companies, real estate assets and energy assets. Our client base is growing, and our existing clients are engaging the firm across the spectrum of our services offerings. Qualification : Graduate degree, preferably in IT related disciplines Microsoft Certifications would be preferred

Engineering Manager - Platform Location: Hyderabad, India. We re revolutionizing the integration industry and we want you to join us! Our core mission at Celigo is simple: To make automation of business processes as simple as possible by enabling anyone in the enterprise to build or deploy integrations across thousands of cloud applications. You get the best of both worlds: a high energy driven start-up culture with a company that has established itself in the dynamic high growth iPaaS market with thousands of value driven customers. Your Role Celigo is looking for an experienced Engineering manager to lead one of our Platform teams. Our platforms are built to be highly available and scalable supporting large-scale transactions. Our criteria of a successful engineering leader is one who understands the business landscape, is excited to work with people, highly collaborative, energetic, passionate about our product & our customers, and at the same time technically strong & loves technology. You will manage and lead a team of high-caliber developers working on one of our important platform areas. We expect our Engineering Managers to be customer focused, have an excellent grasp on business priorities, and be able to translate the team s contributions to tangible business value for our company. They are passionate about hiring & grooming high quality talent, keeping them focused & motivated and representing the team to leadership. They should possess stellar delivery execution skills, build good relationships with Product Management, have a good understanding of ROI, manage the technical team s roadmap and keep technical debt under control. Masters/Bachelors degree required in Computer Science/Engineering, Software Engineering or Equivalent discipline (EEE, ECE). 12+ years of total experience in Software Product Development with at least 6 years of team management experience in leading. Experience building and leading team(s) of high-caliber software engineers. Must have successfully delivered complex, demanding projects for large scale SaaS product(s). Experience working in an Agile development environment. Experience playing the scrum master for at least one year is preferred. Excellent communication skills both verbal and written. Strong organizational and time management skills. Experience with full product life cycle including post production release support. Experience working with multiple functions including but not limited to Product Management, Program Management, Quality Assurance, UI/UX design teams, Documentation, Customer Success teams (including Support). Should be experienced in Software Engineering best practices including coding standards, code-reviews, Source Control, CI/CD, Testing, Security Standards, Compliance. Ability to handle ambiguity and comfortable working with minimal specifications. Drive the execution and delivery of features by collaborating with program managers, product owners, engineers (Dev & QA), architects and other cross-functional teams. Collaborate with Product Managers to align on business objectives, priorities, trade-offs and assess risks, if any. Take critical decisions for the team whenever required to result in a successful product delivery. Should foresee issues and prevent/resolve them at the earliest opportunity. Work following Agile development methodologies using various related tools, like JIRA. Ensure the team is motivated, focused, clear on priorities and have all the needed resources for successful execution. Should encourage and be a role-model for the team to go above and beyond. Represent the team in business related discussions and articulate business values of the team s contributions in larger business-focused forums and/or to senior management. Drive technical excellence and high quality deliverables. Should constantly think for the future by building the right infrastructure at the right time. Provide guidance, career development and coaching to team members. Participate in planning, architecture, and design discussions. Collaborate with cross-functional teams for coordination, planning, design decisions, and reviews. Is passionate about making a world-class software organization. Has experience building large-scale distributed platforms either as part of a team or must have managed a team building them. Enjoys a fast-paced environment, working with a highly-talented team and shifting priorities. Has excellent problem solving and analytical skills. Is great at making data-driven decisions; should use appropriate metrics and report using them in Executive/senior leadership meetings. Is comfortable in designing and implementing new processes (or) modify existing processes internally to improve the efficiency of the team. Has the ability to build strong relationships with stakeholders and key partners for the program. Has strong business and technical vision. Can stay abstract or detail oriented as the situation demands. Has demonstrated the ability of thinking big, bringing new ideas, building teams & infrastructure for the future. Learns quickly; must know when to listen, and when to take charge. Qualification : Masters/Bachelors degree required in Computer Science/Engineering, Software Engineering or Equivalent discipline (EEE, ECE).

Senior Product Designer About Celigo: Celigo is a modern integration and automation platform (iPaaS) focused on simplifying how companies integrate, automate, and optimize processes. Purpose-built for mission-critical processes, Celigo provides tools like runtime AI and pre-built integrations designed to tackle the biggest integration challenges, making it incomparably easier to maintain. We are seeking a Senior Product Designer who is proactive, unafraid to own and advocate for an iterative design process, and driven towards finding simple, easy-to-use, intuitive, and elegant solutions to complex design problems. You will play a key role in shaping the overall user experience, from conducting discovery user research through to designing micro-interactions for our product UIs. Key Responsibilities: Create design assets such as user journey flows, wireframes, visual designs, service blueprints, prototypes, and detailed specs to capture and convey design behaviors and implementation details. Use user research data (usability studies, surveys, interviews, etc.) and metrics to inform design decisions. Expert in conducting and synthesizing user research with proficiency in qualitative and quantitative methods such as user interviews, surveys, usability testing, and analytics. Lead user research activities (with or without the support of a dedicated researcher), ensuring early validation of product ideas and concepts. Champion good user experiences and share best practices, demonstrating curiosity about customer needs and behaviors. Collaborate closely with product managers, engineers, content strategists, and other designers in an iterative design process. Maintain high standards for usability, accessibility (WCAG), quality, beauty, and consistency using best design practices. Engage in feedback sessions, ensuring alignment with larger product goals, and challenge peers productively. Advocate for user-centered design, ensuring design decisions are rooted in user needs and behaviors. Think big while considering the larger system, sweating the small details that enhance the product. Be a team player with humility, hard work, and a willingness to help others succeed. Informally mentor and provide feedback to other designers. Contribute to shaping the design team s culture through collaboration, feedback, and process iteration. Qualifications: 5-8 years of experience designing delightful user experiences with a portfolio showcasing processes and deliverables. Proven ability to clarify, present, justify, and defend design decisions to stakeholders. Experience contributing to and consuming component-based design systems. Expertise in Figma/FigJam and other relevant UX design, research, and prototyping tools. Strong attention to detail, problem-solving skills, and excellent presentation skills. Significant experience in designing B2B applications or SaaS products, particularly in agile, iterative environments. Demonstrated experience in responsive design patterns and design systems. Strong focus on usability and efficiency, with a drive to simplify complex problems. Strong information design skills with a solid foundation in UX design heuristics. Ability to build strong relationships with cross-functional teams. Ability to thrive in a collaborative, ego-free, cross-functional team environment. Confidence in design leadership and effective communication across teams. Excitement for solving real customer problems with smart, delightful solutions aligned with company goals. Preferred Qualifications: Bachelor's/University degree, Master's degree in HCI or design-related field with an emphasis on user experience, interaction design, or visual design. Experience with motion design, HTML, CSS, JS, and other front-end technologies. Strong understanding of how AI and machine learning can inform design decisions, enhance interactions, and personalize experiences. Visionary in the 2024 Gartner Magic Quadrant for iPaaS and a recognized leader in AI. Remote-first culture and competitive compensation. Generous benefits package including wellness days, vacation, and holidays. Diversity, Equity, Inclusion, and Accessibility: Committed to fostering a collaborative and inclusive work environment through initiatives like the Taking a Stand Committee. Celigo is proud to be an equal-opportunity employer. We value diversity and welcome applicants from all backgrounds to join us in creating a safe and welcoming work environment. Qualification : Bachelor's/University degree, Master's degree in HCI or design-related field with an emphasis on user experience, interaction design, or visual design.

Job Role: Senior DevOps Engineer Location: Hyderabad Job Description Sr. DevOps developer you will define designs, provide technical enablement for application components or subsystems for research applications. Your major focus will be on writing code in python or similar and enable integration with various systems. Responsibilities: 8-13 years of experience in (L3 Skills) (AWS, Python, Groovy, Jenkins). Experience working on AWS Cloud platform. Hands-on experience with infrastructure as code tools like Terraform/CloudFormation. Design, test and implement CI/CD including automation using bitbucket/GitHub, Jenkins. Strong programming skills on Python or Groovy or similar Experience working with different AWS services like Ec2, EBS, RDS, IAM, VPC, Lambda, S3, EKS, etc. Experience in building, managing and deployment of Docker images on EKS. Experience in administering both Unix/Linux and Windows operating systems. Prior experience on monitoring and alerting systems like Prometheus/Alert Manager/Grafana Should demonstrate strong Troubleshooting skills. Good to have: Experience with configuration management tools (E.g., Ansible, Chef) Understanding of Monitoring tools (New Relic, PagerDuty, Splunk, CloudWatch etc.) Strong Communication and documentation skills Ability to learn and apply new technologies through self-Learning. Preferred Certifications: AWS Solution Architect Associate or Up / AWS DevOps Associate or Up 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 Title: Senior Software Engineer Location: Hyderabad Experience: 4-7 Years Skills: Strong C#, VB.NET, RPA (UiPath, Automation Anywhere, or Blue Prism) Description & Requirements: Infor LN is an advanced Enterprise Resource Planning (ERP) software designed to meet the business needs of manufacturers, enabling quick and cost-effective integration across various supply chains. Position Overview: We are seeking a Senior Software Engineer with proficiency in .NET programming languages (C#, VB.NET) and experience with Robotic Process Automation (RPA) tools such as UiPath, Automation Anywhere, or Blue Prism. This position will be responsible for implementing, configuring, and deploying Infor's automation solutions while collaborating with various stakeholders to resolve technical challenges. Essential Duties: Implement, configure, and deploy Infor s automation solutions. Ensure best practices are followed to deliver high-quality solutions to customers. Design and develop customizations, integrations, and workflows using Infor OS platform. Collaborate with customers, stakeholders, and development teams to resolve technical issues. Provide timely specifications, estimates, and development for integration support. Offer technical guidance to Business Consultants and System Architects. Mentor less experienced colleagues and provide support to the Infor support team. Stay updated with new Infor technologies, automation, and cloud innovations. Contribute to the development of innovative automation use cases and POCs. Carry out coding in line with Infor standards. Basic Qualifications: Minimum of 4 years of experience in ERP solutions. Proven experience in leading technical or functional workstreams on complex projects. Experience working with global customers on large RPA projects. Strong understanding of ERP applications, business processes, and automation. Excellent communication and problem-solving skills. Ability to work independently and in collaboration with teams. Bachelor s or Master s degree in Computer Science or a related field. Preferred Qualifications: Prior experience in Infor Cloud Suites, Infor OS, RPA, or AI technologies. About Infor: Infor is a global leader in business cloud software products, offering complete industry suites that prioritize user experience, leverage data science, and integrate seamlessly into existing systems. Over 60,000 organizations worldwide rely on Infor to overcome market disruptions and drive business-wide digital transformation. For more information, visit www.infor.com. Our Values: At Infor, we focus on a business philosophy called Principle Based Management (PBM ), built on principles like integrity, transformation, respect, and self-actualization. We aim to reflect diversity in our workforce to represent the markets, customers, partners, and communities we serve. Equal Opportunity Employer: Infor is committed to creating a diverse and inclusive work environment. We do not discriminate against candidates or employees based on sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. Qualification : Bachelors or Masters degree in Computer Science or a related field.

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.

Role Overview: We are seeking a highly skilled Senior Python Engineer with extensive experience in FastAPI and microservices architecture to join our dynamic team. The ideal candidate will possess a strong technical background, proven leadership experience, and expertise in building scalable, resilient, and secure applications. In this role, you will lead the design, development, and deployment of backend services, collaborating with cross-functional teams to deliver impactful solutions. Key Responsibilities: Lead design and development of applications using microservice architecture to ensure scalability, resilience, and high performance. Develop and maintain FastAPI-based backend services, optimizing for scalability and reliability. Implement best practices for logging, monitoring, health checks, and error handling to ensure robust service performance. Optimize code quality, security, and performance across the development lifecycle. Utilize containerization technologies (e.g., Docker, Kubernetes) for efficient application deployment and management. Collaborate with cross-functional teams to define, design, and implement new features that align with business objectives. Establish and manage CI/CD pipelines to automate deployment and ensure consistent, efficient delivery of software. Adhere to API design and development best practices, ensuring high-quality and secure services. Set up and maintain monitoring and logging tools (e.g., Prometheus, Grafana) for performance tracking and proactive issue resolution. Ensure adherence to version control systems (e.g., Git) and best practices in collaborative workflows. Qualifications: Proven experience in leading technical teams and developing applications using microservice architecture. Proficiency in Python and FastAPI for building robust and scalable backend services. Deep understanding of Pydantic for data validation in FastAPI. Experience with containerization technologies such as Docker and Kubernetes for efficient application deployment. Familiarity with CI/CD pipelines and automation tools to streamline the development and deployment process. Strong knowledge of API design and implementation best practices, ensuring high-quality and secure integrations. Experience with monitoring and logging tools like Prometheus and Grafana. Strong understanding of security best practices in microservices-based applications to ensure data integrity and confidentiality. Nice to Have: Experience with Retriever models, including the implementation of chunking strategies. Familiarity with vector databases and their relevant use cases in AI-driven applications. Understanding of optimal approaches for querying LLM models via API. Experience with prompt engineering and strategies for effective interaction with LLMs. Exposure to various prompt engineering techniques in different AI scenarios. At Blend, we believe in the transformative power of AI, combined with human expertise, to create meaningful impacts. Join our team and contribute to cutting-edge technology projects that shape the future of AI and innovation. Enjoy a culture that fosters collaboration, growth, and creativity while working alongside some of the brightest minds in the industry.

General Summary: Qualcomm is at the forefront of technological innovation, leveraging data-driven insights to power business decisions. We are seeking a Senior/Lead Data Engineer to design, develop, and implement advanced data solutions to support Qualcomm s business goals. This role will involve building scalable data pipelines, integrating large datasets, and collaborating with cross-functional teams to unlock the value of data. As a key technical leader, you will help shape Qualcomm s data infrastructure and work closely with data scientists, analysts, and business stakeholders to ensure the delivery of reliable and high-quality data solutions. Key Responsibilities: Design and implement scalable data pipelines and ETL processes for structured and unstructured data. Develop and optimize data lake, data warehouse, and real-time data processing solutions. Collaborate with data scientists, analysts, and product teams to understand data requirements and translate them into robust data solutions. Ensure data quality, reliability, and security across all data systems and pipelines. Build and maintain data models that support business intelligence and advanced analytics needs. Optimize data workflows for performance, scalability, and cost-efficiency. Provide technical leadership and mentorship to junior data engineers. Stay up to date with emerging technologies and recommend solutions to improve data architecture. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Information Systems, Engineering, or related field. 5+ years of experience in data engineering or related roles. Proficiency in Python, SQL, and Scala, with experience in building scalable ETL pipelines. Strong experience with big data technologies (e.g., Hadoop, Spark, Kafka). Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Solid understanding of data modeling, data architecture, and real-time data processing. Experience with CI/CD, containerization (Docker, Kubernetes), and DevOps practices. Preferred Qualifications: Knowledge of machine learning pipelines and working with data science teams. Experience with streaming data frameworks (e.g., Apache Flink, Spark Streaming). Strong understanding of data governance, compliance, and security best practices. Excellent problem-solving, communication, and team collaboration skills. Why Join Qualcomm? At Qualcomm, you ll work on cutting-edge projects, collaborating with global teams to solve challenging problems. We offer: Continuous learning and growth opportunities. Flexible working arrangements and a supportive work culture. The chance to work with innovative technologies and industry leaders.

General Summary: The Software Test Engineer will play a critical role in testing Qualcomm Sensing Hub features for various Qualcomm products. The position includes test planning, test case development, execution, and hands-on testing in both lab and field settings. The role also involves developing automation frameworks, debugging embedded systems, and collaborating with global teams for issue resolution. Key Responsibilities: Test Development & Execution: Develop test cases and execute testing for Qualcomm Sensing Hub features. Conduct hands-on testing with mobile/handheld devices in labs and field environments. Automation Development: Create automation modules for sensor testing using C# and Python. Maintain and enhance test automation frameworks. Debugging & Issue Resolution: Analyze and isolate issues across software modules, test frameworks, or hardware. Collaborate with global teams to resolve issues and support debugging in embedded targets. Sensor Testing & Calibration: Verify and calibrate sensors in embedded hardware. Test and validate communication between devices embedding Qualcomm Sensing Hub. Collaboration & Innovation: Work closely with engineering teams to integrate new testing methodologies. Gain a detailed understanding of Qualcomm Sensing Hub software, hardware, and embedded architectures. Minimum Qualifications: Educational Requirements: 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. Work Experience: 1+ year of work or academic experience with software/system testing and automation tools. 4-6 years of experience testing embedded systems and developing automated test cases/frameworks. Technical Skills: Proficiency in C, C++, Python, and Java. Experience with Android application programming. Knowledge of debugging embedded systems and isolating issues. Familiarity with Qualcomm test tools (Axiom, QXDM, QDSS, etc.) and DIAG implementation. Exposure to sensors (e.g., inertial, pressure, ambient light) and related test equipment. Other Skills: Strong analytical skills and attention to detail. Ability to prioritize tasks and multitask effectively. Excellent communication and collaboration skills in a global team environment. Basic understanding of radios, audio, camera features, and related test procedures. Preferred Qualifications: Master s degree in Computer Science or Electrical Engineering. Previous experience with Linux Embedded, Linux Android, and Windows mobile devices. Familiarity with oscilloscope usage for debugging hardware and validating signals. Experience in modem, WiFi, Bluetooth, and location technologies testing. Work Environment & Accessibility: Qualcomm is committed to fostering an inclusive workplace and providing reasonable accommodations for individuals with disabilities during the hiring process. Equal Opportunity Employer: Qualcomm prohibits discrimination and ensures equal opportunities for all candidates regardless of race, color, religion, gender, disability, or any other characteristic protected by law. Qualification : Masters degree in Computer Science or Electrical Engineering.

The Test & Device Automation team is responsible for developing automation tools for various domains, including Mobile, MDM, Compute, Automotive, XR, and VR. These tools operate on both host systems and devices, enabling automated testing and optimization of Qualcomm Snapdragon platforms. The engineer will participate in design discussions, analyze system requirements, sustain software interfaces, and develop tools to support emerging technologies. Key responsibilities include integrating new features from Android, Windows, XR, and Automotive platforms into automation tools. Key Responsibilities: 1. Tool Development: Create and optimize automation test tools for multiple platforms (Android, Windows, XR, Auto, MDM). Design and develop software interfaces for Qualcomm Snapdragon platforms. 2. Feature Integration: Monitor upcoming API and feature changes in Android and other platforms. Incorporate updates into automation tools to maintain compatibility with new technologies. 3. Problem-Solving & Risk Analysis: Identify end-to-end use cases and risks for integrating new technologies. Address software impacts and incorporate improvements into the tools. Minimum Qualifications: Education: Required: Bachelor s degree in Engineering, Computer Science, or related field with 3+ years of relevant experience. Master s degree with 2+ years of relevant experience. PhD with 1+ year of relevant experience. Experience: Technical Skills: Strong proficiency in C#, C++, Python, and Android programming. Solid understanding of Data Structures and their applications. Proven experience in software test engineering and automation tools development. Familiarity with Source Code Control Systems, Continuous Integration Tools, and Bug Tracking Tools. Other Skills: Analytical and problem-solving abilities. Effective planning, time management, and decision-making skills. Excellent communication and teamwork skills. Preferred Skills: Insight into Android/Windows platforms and their architectures. Experience working in large organizations. Familiarity with XR, VR, and Automotive platforms. Work Environment & Accessibility: Qualcomm is an Equal Opportunity Employer, committed to providing accessibility accommodations during the hiring process for individuals with disabilities. Qualification : Bachelors degree in Engineering, Computer Science, or related field with 3+ years of relevant experience.

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