Senior AI/ML Specialist in Hyderabad, India is listed on Jobeax. Browse 30,000+ vacancies available.
About the Role:We are looking for a Senior AI Developer Engineer with strong hands-on experience in AI, Generative AI, Agentic AI, and intelligent automation. The ideal candidate should be proficient in Python and experienced in building secure, scalable, production-grade enterprise AI solutions using modern AI frameworks and cloud https://jobeax.com/link/tlplQAnK5B36KMXq Responsibilities:- Design and develop enterprise-grade AI, Generative AI, and Agentic AI solutions.- Build LLM applications using RAG, prompt and context engineering, embeddings, semantic search, evaluations, and guardrails.- Develop AI orchestration workflows using frameworks such as LangChain, LangGraph, Semantic Kernel, or comparable technologies.- Integrate AI solutions with enterprise platforms, REST APIs, databases, identity systems, MCP, and workflow automation.- Design distributed, cloud-native, API-driven, and data-intensive applications on Azure and/or AWS.- Implement scalable solutions using Docker, Kubernetes, CI/CD, and infrastructure-as-code practices.- Collaborate with architecture, cloud, security, operations, product, and business teams to deliver reliable and secure AI https://jobeax.com/link/iKfkA8JidHXTKcLW Skills:- 7+ years of professional software engineering experience, including 3+ years of hands-on experience in AI, ML, Generative AI, or intelligent automation.- Strong proficiency in Python; C#, Java, TypeScript, or JavaScript is an advantage.- Strong knowledge of LLMs, Generative AI, Agentic AI, RAG, prompt engineering, embeddings, semantic search, evaluations, and guardrails.- Experience with enterprise AI platforms such as Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, or AWS Bedrock.- Hands-on experience with AI orchestration frameworks such as Semantic Kernel, LangChain, LangGraph, LlamaIndex, AutoGen, or CrewAI.- Experience with relational, NoSQL, and vector databases, including SQL Server, PostgreSQL, MongoDB, Cosmos DB, and Azure AI Search or comparable vector technologies.- Strong understanding of Azure and/or AWS, Docker, Kubernetes, Git, CI/CD, monitoring, and secure software delivery.- Experience with REST APIs, event-driven architecture, enterprise identity, tool/function calling, MCP, and workflow automation.- Proven experience delivering secure, scalable, production-grade enterprise applications and collaborating with cross-functional stakeholders. (ref:hirist.tech)
... most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We're passionate about solving our customers' most complex data challenges to accelerate intelligent innovation and business value. As a Senior/Staff Kernel ...
... We're Looking For:Must Have:- 5+ years of Product Management experience.- 2+ years of hands-on experience working with AI/ML/GenAI products.- Experience taking an AI product from idea to MVP to production to optimisation.- Strong analytical and data-driven approach.- Strong understanding of LLMs, Generative AI, AI agents, RAG, ...
Position : Senior AI/ML Engineer (LLM, Python)Overall Experience : 3 - 7 yearsLocation : Hyderabad/Indore/AhmedabadWorking Days : 5 Days from OfficeNotice Period : Immediate Joiners/Serving Notice PeriodRoles & Responsibilities : - Lead end-to-end design and delivery of production-grade AI/ML solutions including RAG pipelines, ...
Position : Senior AI/ML Engineer (LLM, Python)Overall Experience : 3 - 7 yearsLocation : Hyderabad/Indore/AhmedabadWorking Days : 5 Days from OfficeNotice Period : Immediate Joiners/Serving Notice PeriodRoles & Responsibilities : - Lead end-to-end design and delivery of production-grade AI/ML solutions including RAG pipelines, ...
Role Summary : The Senior Data Scientist will lead advanced analytics initiatives, leveraging AI/ML, Generative AI (GenAI), and Agentic AI to deliver decision intelligence solutions. This role involves designing solutions, collaborating with cross-functional teams, and mentoring junior data https://jobeax.com/link/jOXlfQ8JM0UfgeL3 ...
... Context Protocol (MCP) — both consuming MCP servers and building custom MCP server integrations. Experience with Claude model selection strategy (Opus, Sonnet, Haiku) for different agentic task profiles. Proficiency in prompt engineering: system prompts, few-shot examples, chain-of-thought, XML-structured outputs, and agent ...
... across business applications. Key Responsibilities Reuse and enhance existing AI/Generative AI libraries, platforms, models and assets . Research and develop novel AI and Generative AI algorithms and techniques . Design, develop and optimize end-to-end AI/ML solutions for various applications. Work across Generative AI, NLP, ...
... Responsibilities :- Architect and develop scalable AI/ML solutions.- Build production-grade Generative AI and LLM-powered applications.- Design and optimize RAG pipelines, AI Agents, and multi-agent workflows.- Lead ML pipeline deployment, monitoring, and optimization.- Develop FastAPI-based AI services.- Implement semantic search using ...
... business requirements into clear technical designs and execution plans.- Review architecture, code quality, and engineering best practices; ensure scalable and maintainable solutions.- Drive adoption of AI capabilities (e.g., ML models, GenAI, intelligent automation) in engineering solutions where applicable.- Proactively ...
... stakeholders, product teams, and engineering squads to translate complex business requirements into robust technical solutions that enable advanced analytics, AI/ML, and data-driven decision-making across insurance focused business domains. Key Responsibilities: Lead the end-to-end architecture and solution design for enterprise ...
... companies . - Proven experience handling enterprise-level Indian customers , understanding their business culture and delivery expectations. - Strong exposure to AI/ML-based product implementations or integrations. - Deep understanding of Agile/Scrum delivery practices. - Demonstrated ability to lead multi-disciplinary teams ...
... OpenSearch, Pinecone- Data Processing: Glue, EMR- Deployment: ECS, EKS- Observability: Define enterprise AI reference architecture and roadmap.- Mentor engineers and ML teams on best practices for agentic AI design.- Lead build vs buy decisions for AI platforms and tools.- Establish AI cost governance and FinOps framework.- Drive ...
... in previous roles — replacing manual/repetitive steps with tools, scripts, or AI-assisted workflows. - An "AI-native" way of working — comfortable using LLMs/AI copilots as part of daily workflow (analysis, documentation, communication, process design), not just as a novelty. - Experience working with AI/ML teams and understanding ...
... tools or ML model validation platforms. Comfort working in Agile, distributed teams using tools like Git, JIRA, and Slack. You'll work at the intersection of AI, data infrastructure, and impact—contributing to platforms that ensure AI is explainable, auditable, and ethical at scale. Join a team building the next generation ...
... worker safety across thousands of licensed US facilities Greenfield data platform work on a modern AWS stack — you will shape the architecture, not inherit it Senior-level autonomy with cross-functional influence across product, backend engineering, and AI/ML teams Competitive senior compensation package, equity participation, ...
... estimated cost, time, and quality within planned scope. Covers management of risks that affect the delivery of project outcomes. Lead the full project lifecycle for AI/ML and GenAI initiatives — scoping, planning, resourcing, execution, and closure — using Agile, Scrum, or hybrid methodologies. Manage cross-functional squads ...
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... applications. Fine-tune, evaluate, and optimize LLM-powered applications for accuracy, latency, and cost. Implement data preprocessing, feature engineering, and ML model training workflows. Work with structured and unstructured datasets to solve business problems. Collaborate with Product Managers, Software Engineers, and ...
... NumPy, Scikit-learn, ML/DL frameworks) SQL (advanced queries, optimization) PySpark (distributed data processing) Experience in building, deploying, and evaluating ML models Strong problem-solving skills with the ability to work in a hybrid setup Responsibilities Develop and optimize ML/GenAI models for business use cases Work ...
... technical specifications. Experience with Whiz AI or product-based environments is preferred. A strong product mindset is mandatory. Candidates who have worked for Saas and UI/UX products Business Analyst who has used AI/ML OR LLMs, OR agentic AI. Super good communication Single round of interview – direct with Client