Llms Jobs in Hyderabad

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

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.

Conversational AI Technical Lead Location: Hyderabad, Telangana, India Company: Qualcomm India Private Limited General Summary Qualcomm IT is seeking a Lead Conversational AI Developer for its Intelligent Automation Center (IAC). This role focuses on designing and implementing AI-driven conversational experiences using Microsoft Azure, Copilot Stack, and GenAI frameworks. Key Responsibilities Design and implement Conversational AI solutions using Microsoft Azure and Copilot Stack with Generative AI. Hands-on experience with Microsoft Copilot Studio, Bot Framework, Azure AI Search, Azure OpenAI, and NLP technologies. Develop end-to-end AI projects utilizing Retrieval-Augmented Generation (RAG) and Agentic AI architectures. Build bot solutions using Python; knowledge of front-end technologies like Angular is a plus. Utilize Azure Cognitive Services (LUIS/CLU, QnA Maker, Spell Check, Speech API). Extend Copilot Agent functionalities with Power Automate, Logic Apps, and APIs. Work with LangChain, LlamaIndex, and Streamlit for GenAI solution development. Ensure code quality through unit testing and reusable test case development. Support product testing and UAT; report status, issues, and risks regularly. Mentor team members and improve automation skills through certification. Minimum Qualifications Bachelor s degree and 4+ years of relevant programming/IT experience, or 6+ years without a degree. 2+ years of experience with database technologies like MongoDB or MySQL. Strong understanding of Conversational AI and Intelligent Automation methodologies. Experience in process mining tools like Celonis (data models, dashboards). Proficient in business process diagrams and flowcharting using Automation Anywhere. Knowledge of Robotic Process Automation (RPA) tools (certifications preferred). Strong programming background, especially in Python. Knowledge of RDBMS and SQL query writing. Experience in cloud platforms (preferably AWS); certifications are a plus. Agile development experience with tools like Jira. Skills & Competencies Strong knowledge of Microsoft Conversational AI Stack (Copilot Studio, Azure AI Foundry/Search/OpenAI). Experience in GenAI frameworks like LangChain. Strong communication, leadership, and team collaboration skills. Ability to manage tasks independently and lead a technical team effectively. Qualification : Bachelors degree and 4+ years of relevant programming/IT experience, or 6+ years without a degree.

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.

Senior Data Scientist Location: Hyderabad, Telangana, India Employment Type: Full-Time Overview Microsoft Search powers delightful and relevant experiences for enterprise users, and AI-driven Copilots have turned futuristic visions into current-day reality. We are seeking candidates who can help build the next-generation machine learning systems to drive innovation in search ranking, clustering, recommendation systems, and much more. As a Senior Data Scientist in the team, you will work independently on complex problems, define success metrics, and contribute to design and review processes for machine learning/data pipelines across the team. If you're ready to tackle challenging data science problems and help shape the future of search, we want you on our team! Key Responsibilities End-to-End Ranking: Oversee the ranking of search results and contribute to enhancing search relevance. Large Language Models (LLMs): Work on developing and deploying large language models to improve search experience and AI-powered copilots. AI-powered Copilot Scenarios: Drive innovations in AI systems that enhance user productivity and engagement through Copilot capabilities. Compliance & Privacy: Develop machine learning training pipelines at scale that are privacy and compliance-aware. Personalization: Customize search results and recommend relevant content based on user preferences. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field AND 2+ years of data science experience OR Master s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field AND 5+ years of data science experience OR Bachelor s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years of data science experience. Experience working with both structured and unstructured data, applying statistical techniques, and reporting results. Hands-on experience with implementing and shipping production-quality machine learning models or data pipelines. 2+ years of customer-facing, project-delivery experience, professional services, and/or consulting experience. Strong programming skills in Python, R, or similar languages, and familiarity with machine learning libraries. Preferred Qualifications: Prior work or research experience in the Search domain is highly preferred. Familiarity with large-scale distributed systems, cloud platforms (such as Azure), and real-time machine learning applications. Experience with deep learning and large language models (LLMs). Familiarity with compliance and privacy in machine learning pipelines. Microsoft s mission is to empower every person and organization on the planet to achieve more. At Microsoft Search, you will be part of a team solving impactful problems for millions globally. Join us to drive cutting-edge advancements in AI and contribute to shaping the future of search and user experiences. Employee Benefits Industry-leading healthcare coverage Generous time off and family leave policies Access to educational resources and professional development Employee discounts on Microsoft products and services Opportunities for networking and global collaborations Inclusive and supportive work environment with a focus on work-life balance Microsoft is an equal opportunity employer. We are committed to creating a diverse and inclusive environment where every individual is treated with respect and can thrive. Join us to make a global impact through innovation, collaboration, and diversity.

Role Overview: We are looking for an experienced Senior Python Engineer with expertise in FastAPI and microservices architecture to join our dynamic team. In this role, you will lead the design, development, and deployment of scalable and resilient backend services. The ideal candidate will have a strong technical background in Python development, microservices architecture, and FastAPI, along with proven experience leading technical teams and ensuring high performance, security, and maintainability of applications. Key Responsibilities: Lead the design, development, and deployment of microservice-based applications, ensuring scalability and resilience. Develop and maintain FastAPI-based backend services with a focus on performance, security, and scalability. Implement best practices in logging, monitoring, health checks, scalability, resilience, service discovery, and API gateways. Ensure code quality, security, and performance optimization across the application stack. Work with containerization technologies like Docker and Kubernetes for seamless application deployment. Collaborate with cross-functional teams to define, design, and ship new features effectively and efficiently. Establish and manage CI/CD pipelines for seamless and automated application deployment. Implement best practices for API design, development, and security to ensure robust and reliable services. Set up and maintain monitoring and logging tools (e.g., Prometheus, Grafana) for proactive issue detection and resolution. Ensure adherence to version control systems (e.g., Git) and support collaborative workflows across teams. Qualifications: Proven experience in leading technical teams and developing scalable applications using microservices architecture. Proficiency in Python and FastAPI for building high-performance backend services. In-depth knowledge of Pydantic for data validation in FastAPI applications. Hands-on experience with containerization technologies (e.g., Docker, Kubernetes) for managing deployment and scalability. Familiarity with CI/CD pipelines and automation tools to streamline application development. Strong expertise in API design and implementation best practices. Experience with monitoring and logging tools like Prometheus and Grafana. Strong understanding of security best practices in microservices-based applications. Nice to Have: Experience with Retriever models, including the implementation of chunking strategies. Familiarity with vector databases and their relevant use cases. Understanding of optimal approaches for querying LLM models via API. Experience with prompt engineering and strategies for effective interactions with LLMs. Exposure to various prompt engineering techniques in different scenarios. At Blend, we are driven by the belief that AI and human expertise can combine to create meaningful, lasting impact. By joining our team, you ll have the opportunity to work on cutting-edge technologies, collaborate with brilliant minds, and contribute to innovative projects that shape the future.

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.

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.

Tezo: Digital & AI Solutions Provider Tezo is a next-generation Digital & AI solutions provider with a history of creating remarkable outcomes for our customers. We deliver exceptional experiences through cutting-edge analytics, data proficiency, technology, and digital excellence. Job Title: Senior Data Scientist Generative AI Job Summary: Tezo is seeking passionate AI Engineers to harness the power of Generative AI and build cutting-edge solutions that transform enterprises. Join us in revolutionizing the business landscape by developing intelligent, generative AI models that drive real-world impact at scale. In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying Generative AI models for enterprise use cases. You ll work closely with architects, developers, and product teams to deliver state-of-the-art AI solutions. What Makes Our AI/ML Practice Unique: Purpose-Driven: We actively respond to our customers' evolving needs with innovative solutions. Collaborative: We foster a positive and engaging work environment where collective ideas thrive. Accountable: We take ownership of our performance, both individually and as a team. Service Excellence: We maximize our potential through continuous learning and improvement. Trusted: We empower individuals to make informed decisions and take calculated risks. Core Responsibilities: Build production-grade Retrieval-Augmented Generation (RAG) solutions with advanced retrieval, re-ranking, and optimization techniques. Develop GenAI applications using LangChain, LlamaIndex, and Vector Stores, leveraging Large Language Models (LLMs). Fine-tune LLMs for specific business use cases (preferred). Design and implement end-to-end machine learning and NLP solutions, including data preprocessing, modeling, and deployment. Deploy ML solutions in production using cloud services such as Azure or AWS. Collaborate with business stakeholders to ensure alignment of AI solutions with organizational goals. Lead and mentor team members, promoting best practices in data science and AI/ML. Qualifications: Required: 4+ years of experience in developing end-to-end machine learning and NLP projects. Hands-on experience with Retrieval-Augmented Generation (RAG) and advanced RAG techniques. Proficiency in building GenAI applications using LangChain, LlamaIndex, and Vector Stores. Strong expertise in Python and SQL for data science projects. Experience deploying ML models in production environments on Azure or AWS. Strong business acumen, stakeholder management, and team-leading skills. Preferred: Experience fine-tuning Large Language Models (LLMs) for business use cases. Familiarity with cloud-native AI/ML services and scalable architecture. At Tezo, you ll be part of a dynamic, innovation-driven team committed to delivering cutting-edge AI solutions that drive real-world transformation. If you re ready to take on exciting challenges and work on impactful projects, we d love to hear from you!

Join Amgen s Mission of Serving Patients At Amgen, you re part of something bigger our shared mission to serve patients with serious illnesses drives everything we do. Since 1980, we ve been pioneers in the biotech industry, focusing on Oncology, Inflammation, General Medicine, and Rare Diseases, helping millions of patients live longer, fuller lives. Amgen remains on the cutting edge of innovation, combining biology and technology with human genetic data to push beyond what s possible today. Specialist IS Engineer What You ll Do As a Specialist IS Engineer, you will develop and implement the next generation of pharmacovigilance platforms while supporting existing technologies. This includes designing, developing, and deploying complex software solutions while mentoring junior developers. You ll collaborate with cross-functional teams to deliver high-quality, scalable solutions that ensure system reliability and innovation in safety systems. Key Responsibilities Design, develop, and deploy solutions for pharmacovigilance systems to enhance adverse event intake and distribution. Ensure technical implementation aligns with GxP validation processes and IS Change Control standards. Collaborate with partners to prioritize system enhancements and new functionalities for safety systems. Develop innovative solutions using Generative AI and large language models (LLMs) like OpenAI GPT for improved decision-making and efficiency. Rapidly prototype and translate concepts into working code. Drive automation and process improvements within the drug-safety ecosystem. Conduct code reviews and maintain technical documentation for architecture, design, deployment, and disaster recovery. Lead technical root cause analyses and collaborate with software vendors to resolve system-related issues. Basic Qualifications Master s Degree with 4 6 years of experience, or Bachelor s Degree with 6 8 years of experience, or Diploma with 10 12 years of experience in Computer Science, Software Development, or a related field Required Skills Must-Have: Proficiency in SQL, Databricks, and data modeling concepts Experience in Python or JavaScript and reporting tools like Power BI or Tableau Familiarity with PV terminologies and regulatory compliance Hands-on experience with SDLC, ETL tools (Informatica, Databricks), and API integrations (MuleSoft) Strong problem-solving skills, collaborative mindset, and effective communication Knowledge of ITIL processes and GxP validation Nice-to-Have: Experience with COTS Pharmacovigilance Platforms (e.g., Argus) Cloud experience with AWS or Azure Knowledge of AI, Machine Learning (ML), Natural Language Processing (NLP) Professional certifications such as SAFe Agile Software Engineer or SAFe for Teams Soft Skills Strong verbal and written communication skills Analytical and problem-solving mindset Ability to collaborate with global, virtual teams Initiative-driven with an ownership mindset Adaptability and resilience in ambiguous situations What You Can Expect Amgen offers a collaborative, science-driven culture and comprehensive benefits, including competitive salaries, professional growth support, and a focus on your well-being. Shift Information: This role may require working late shifts, with potential for evening or night schedules based on business needs. Apply now to make a real difference in the lives of patients while transforming your career at careers.amgen.com. Equal Opportunity Employer: Amgen is committed to creating a diverse and inclusive environment. We provide reasonable accommodations to individuals with disabilities.

Company Overview: Microsoft s mission is to empower every person and every organization on the planet to achieve more. The Microsoft Security Response Center (MSRC) team is at the forefront of this mission, ensuring the security of Microsoft's products, including the Azure platform. The team operates in an agile, start-up-like environment where innovation, collaboration, and fast-paced execution drive success. We are seeking a skilled Data Scientist to join our dynamic and growing team. This is a unique opportunity to work alongside engineers, data scientists, and security experts to build foundational services that will shape the future of security response. Role Overview: As a Data Scientist at MSRC, you will leverage your expertise in Large Language Models (LLMs), Machine Learning (ML), and Natural Language Processing (NLP) to design and build systems capable of reasoning over vast amounts of data. You will collaborate closely with engineering teams to develop fine-tuned LLM models, evaluate model outputs, and work on solutions that align with the product's needs. This role requires you to think creatively and work across teams to drive innovative solutions while maintaining productive working relationships with stakeholders. Key Responsibilities: Develop ML Systems: Design, build, and deploy systems that enable LLMs to reason over large data sets, leveraging lighter models where applicable. Collaborate with Engineering Teams: Work closely with engineers and partner teams to deliver solutions, including fine-tuning LLM models and evaluating model outputs for product requirements. Applied Science & Experimentation: Conduct experiments in applied science, develop metrics, build ML pipelines, and implement algorithms for LLM, NLP, and Information Retrieval. Data Management & Integrity: Prepare and manage data, ensure data cleanliness, and communicate project updates to senior leadership. Contribute to data ethics and privacy policies. Build Conversational Models: Develop and deploy conversational models for natural language understanding at scale. Responsible AI & Privacy: Advocate for and follow best practices in Responsible AI and Privacy Preserving Machine Learning. Stakeholder Collaboration: Collaborate with security, engineering, and product teams to align models with business goals, gather feedback, and drive effective execution of strategies. Thought Leadership: Provide feedback to engineering teams, identify business opportunities, and contribute to industry best practices. Required Qualifications: Bachelor's Degree in Computer Science or a related technical field AND 4+ years of technical engineering experience in languages like C, C++, C#, Java, JavaScript, or Python, OR Master's Degree in Computer Science or a related field AND 3+ years of technical engineering experience, OR Equivalent experience in the field. 3+ years of hands-on experience in Machine Learning. Proficiency in using ML tools such as Pytorch and TensorFlow. Experience in prompt engineering, fine-tuning, and using OpenAI or Azure Open AI APIs. Strong system development skills with experience in developing both rapid prototypes and complex, architected systems. Preferred Qualifications: Experience developing and deploying conversational models at scale. Familiarity with Responsible AI practices and Privacy Preserving Machine Learning. Ability to collaborate with cross-functional teams and work in a fast-paced environment.

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

Job Summary The Corporate Accounting Trainer is responsible for designing, developing, and delivering high-impact technical training programs focused on accounting principles, financial systems, and regulatory compliance. This role combines deep accounting expertise with strong instructional capabilities to enhance the technical competencies of our financial teams. Key Responsibilities Training Design & Development Design and develop comprehensive technical training curricula for accounting processes, financial systems, and compliance requirements Create engaging training materials including presentations, handouts, and practical exercises that effectively convey complex accounting concepts Maintain and update training content to reflect current accounting standards, regulatory changes, and internal process updates Develop assessment tools to evaluate learning effectiveness and knowledge retention Training Delivery Conduct in-person and virtual training sessions on accounting principles, financial software applications, and internal controls Deliver new hire orientation programs covering essential accounting procedures and systems Facilitate advanced technical workshops for experienced staff on complex accounting topics Adapt training delivery methods to accommodate different learning styles and experience levels Program Management Assess training needs through consultation with department heads and analysis of performance metrics Track and report on training completion rates, assessment results, and program effectiveness Manage training schedules and coordinate with departments to ensure maximum participation Evaluate and recommend improvements to training programs based on participant feedback and observed results Maintain detailed records of training activities, attendance, and certifications Technical Support Provide post-training support to reinforce learning and address specific questions Create quick reference guides and job aids for common accounting procedures Collaborate with subject matter experts to ensure technical accuracy of training content Stay current with accounting standards, best practices, and industry trends Qualifications Required Experience Bachelor's degree in Accounting, Finance, or related field Professional accounting qualification (CPA preferred) Minimum 5 years of accounting experience in a corporate environment Demonstrated experience in training delivery or adult education Advanced knowledge of accounting principles, standards, and regulations Proficiency in financial software and Microsoft Office applications Key competencies for position and level Technical Expertise: Strong foundation in accounting principles and practices Communication: Clear and effective verbal and written communication Leadership: Ability to guide and influence learning outcomes Innovation: Creative approach to training design and delivery Analysis: Strong analytical and problem-solving abilities Adaptability: Flexible response to changing needs and environments Key behaviours we expect to see In addition to demonstrating our Group Values (Authentic, Bold, and Collaborative), the role holder will be expected to demonstrate the following: Excellent presentation and communication skills Strong instructional design and facilitation abilities Ability to explain complex concepts in clear, understandable terms Superior organizational and project management capabilities Proven ability to engage and motivate adult learners Qualification : Bachelor's degree in Accounting, Finance, or related field

Cx Compliance L&D Specialist At Coinbase, our mission is to increase economic freedom in the world. It s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform and with it, the future global financial system. To achieve our mission, we re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company s hardest problems. Ourwork cultureis intense and isn t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there s no better place to be. Cx Compliance L&Dprovides end to end learning services, and management for all first line of defense compliance processes, including Transaction Monitoring, Enhanced Due Diligence, Screening and Complaints. The team is responsible for the design, development, implementation and evaluation of all learning deliverables spanning new hire/cross skilling, change management and performance improvement. What you ll be doing (ie. job duties): You should have a strong understanding of regulatory and legal requirements related to compliance, such as: Transaction Monitoring, Sanctions, Anti-Money Laundering, and/or privacy. You will support the Compliance TMS training program: enabling the team s strategic vision by designing and developing content, ongoing deployment and maintenance of the program, measuring program success, and soliciting feedback for future iterations. You will own pulling and analyzing metrics related to your training program You will support ad hoc projects and initiatives for the Compliance training team You will ensure your training program is aligned with regulatory and legal requirements You will maintain multiple training program asset types: elearning courses, instructor led resources, nesting process documents/trackers, training calendars, etc. You will collaborate with multiple internal teams (Workforce Management, VendorManagement, Operations, Compliance etc) for training program feedback, to obtain required sign-offs, and for support with ongoing training deployments You will manage multiple projects and deployments simultaneously, owning all aspects of resource coordination, timelines, deliverables, and goals. You will work in tools like: Articulate, Docebo, Jira, Looker, Slack, and Gsuite products. What we look for in you (ie. job requirements): Proven track record of successfully managing complex projects with multiple stakeholders and delivering high-quality results within deadlines. Excellent communication and interpersonal skills, with the ability to effectively engage and influence stakeholders at all levels of the organization. Experience with instructional design methodologies, e-learning tools, and learning management systems. Strong analytical and problem-solving skills, with the ability to identify training needs, evaluate training effectiveness, and recommend improvements. Ability to work independently and as part of a team, with a high level of self-motivation and accountability. Exceptional organizational and time management skills, with the ability to prioritize tasks and manage competing deadlines.

Job title: Senior Analyst - Certified Global Customer-Engagement Platform Adult Learning Location: Hyderabad About the job Sanofi has currently the best and most robust pipeline of R&D and consequent new launches of our history. As new phase of Play-To-Win strategy, funding this pipeline and new launches is key to materialize the miracles of the science to improve people lives. Thus, as we enter the next phase, modernization of Sanofi is required as per the recent announcements on DRIVE, and in this respect, we are in the beginning stages of organizing the Go-to-Market Capabilities (GTMC) team at global level. Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. The GTMC organization will help us to drive best-in-class capabilities across the board and bring value and excellence in our commercial operations. This move is a key part of the aimed modernization of Sanofi and will allow us to focus on our priorities across our products, market and pipeline through the reallocation of resources and realizing the efficiencies of removing silos that exist between our business units, avoiding the duplication and overlapping of resources, standardizing our processes and tools, operating with a One Sanofi approach to accelerate our key capabilities development, and fostering the entrepreneurial spirit by speeding up the decision making. Job Summary Customer Facing CRM & Platforms team aims for: Centralize Go-to-Market excellence and operational tasks across Global Business Units (GBUs), Standardize best-in-class capabilities with strengthened global support while verticalization of reporting within GTMC from local to global, Define clear ways of working and bringing clarity on interfaces with GBUs, Digital, and executional support on commercial operations from Sanofi hubs to optimize process excellence and efficiency. The Sanofi Global CRM organization is looking for an Adult Learning Specialist, certified as trainer for the digital platforms VEEVA CRM , Veeva 4M and VEEVA ALIGN for all user roles (front and back-office). Creating a positive learning environment is essential to learner adoption. The incumbent is required to design and deliver learning offerings that are role- and business-specific. The incumbent must set realistic and measurable learning targets. The learning program has to focus on both, the learner s mindset and skillset development. The scope is: 1.) Refresh existing users knowledge through appropriate training 2.) Upgrade existing self-learning resources (videos, guides, e-learns, FAQ) and evolve capability to create new later on Main responsibilities: 50% - Train existing certified front-line staff (customer-facing sales, medical and home office marketing and medical) for continuous improvement in the usage of VEEVA CRM and VEEVA 4M. Train existing certified VEEVA Administrators on Veeva CRM BACK-OFFICE and VEEVA ALIGN capabilities. The goal is to foster an adoption and collaboration mindset besides the technical digital usage capabilities. Format: Designing and leading online group trainings (in English and in the Asian languages), conducting business case-based role-plays with the learners. Join the quarterly check-ins with line managers to present the next quarter reinforcement training plan for their teams and identify, design and align further reinforcement learning action plans for subsequent execution that arise from the quarterly Middle Manager sessions. Measure attendance and effectiveness via participant feedback survey and share with the Global OneCRM organization. Build plans to close identified knowledge and adoption gaps and define implementation plans. The languages for sessions have to be ensured in English and in the Asian languages. For all European languages the zoom sessions need to be set-up in activating the zoom AI translation tool. 50% - Self-learning Content Management:Update existing self-learning content for the platforms needed due to planned platform upgrades. To do so, participate in the Governance to gain first-hand information on planned platform upgrades and changes. Update the FAQ on a quarterly basis in close collaboration with the UAT team and in reviewing the UAT system for these changes to take screenshots and build suitable self-learning resources reflecting business cases Manage the global training SharePoint with the new and updated monthly self-learn content. Organize monthly market sessions with the local learning counterparts to present content evolution plans as well as sharing the new/updated deliverables, ensuring that markets promptly localize, translate and cascade. Ensure markets update their local training share points which are market users go-to place. According to the global governance the provided English global core materials have to be loaded immediately and subsequently replaced by locally adapted and translated materials within one month. Track regularly that markets promote the local training sharepoint monthly and all local users know where to find their locally adapted and translated self-learning content. With evolving capabilities, the activity may include the monthly built of new self-learning content for the above-mentioned VEEVA platforms. About you Experience:5+ years' experience as an adult trainer responsible for digital usage capabilities and mindset development. Experience in organizational and behavioral change management Experience in researching, creating, delivering, and tracking business and results-oriented digital adult learning programs Experience in blended learning strategies Proven delivery of outstanding results. Ability to lead change while achieving business goals and objectives, act for change, challenging continuously the status quo. High persistency and resilience. Excellent projec...

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

Senior Specialist Legal Company Overview Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes. Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development. Arcesium seeks a highly motivated individual to join our Legal & Compliance team in Hyderabad as Senior Specialist Legal and work on contracts, legal documentation, and legal research. The candidate will play a role in supporting the efficient management and analysis of our contracts, ensuring compliance, and in-turn facilitating effective decision-making within the organization. What You'll Do Support the team on various legal aspects of contract management and applicable regulatory requirements. Review, negotiate, and maintain confidentiality/non-disclosure agreements with potential counterparties and vendors, as well as agreements for goods and services. Maintain knowledge of the Company's policies, procedures, and guidelines and propose changes to ensure compliance with applicable employment and labour law requirements. Work closely with all stakeholders to ensure appropriate awareness of Company s legal requirements and framework. Create contract abstracts and summaries, as needed. Proactively audit processes, practices, and documents to identify gaps/improvement areas. What You ll need: LLB from a reputed institution. LLM (preferred, not mandatory). 2 to 5 years of experience working in an in-house legal team. Strong analytical skills, problem-solving skills, and attention to detail. Strong interpersonal skills with a collaborative attitude. Excellent oral/written communications skills. Strong aptitude for drafting/editing and strong writing/editing experience. Qualification : LLB from a reputed institution. LLM (preferred, not mandatory).

We are seeking a dynamic Consultant to lead our team in implementing SAPIO Sciences LIMS and ELN solutions for our clients. This position entails designing solutions and configuring SAPIO Sciences systems to align with client requirements in lab informatics. The ideal candidate will bring a wealth of technical expertise and leadership skills to successfully deliver SAPIO LIMS and ELN projects. Responsibilities Lead SAPIO Sciences LIMS and ELN project implementations Customize and script SAPIO functionalities using Python, JavaScript, and SQL Manage integration of systems using RESTful APIs, Webhook, and web services Utilize port forwarding tools such as ngrok or Cloudflare to facilitate effective system communications Oversee database management for projects, specifically with PostgreSQL or similar technologies Implement cloud deployment strategies for SAPIO solutions using AWS, Azure, or GCP Configure and maintain Gunicorn application servers and ensure smooth operation of Flask/Django frameworks for web applications Set up and manage Nginx reverse proxy servers to optimize system performance Understand and implement lab workflows, sample accessioning, and efficient lab data management practices Ensure compliance with industry standards like GxP, FDA 21 CFR Part 11 in regulated environments Requirements 6 to 12 years of experience in Lab Informatics or related fields Strong technical expertise in SAPIO Sciences LIMS and ELN implementations Background in programming with proficiency in Python, JavaScript, and SQL Extensive experience with databases, focusing on PostgreSQL or equivalent Proficiency in cloud technologies including AWS, Azure, and GCP Excellent capability in managing API integrations and utilizing port forwarding tools Strong knowledge of reverse proxy servers (Nginx) and Python web application servers (Gunicorn) Competency in understanding and managing lab workflows and data management processes Background in working within regulated industries like Pharma, Biotech, etc Nice to have Knowledge of other LIMS/ELN platforms (LabWare, LabVantage) Certification in SAPIO Sciences or related tools Familiarity with laboratory instrument integration We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : 6 to 12 years of experience in Lab Informatics or related fields