AI/ML ENGINEERS

Job title: AI/ML Engineer Exp : 4 to 6 yrs Notice period : 1 month No of positions : 2 Location : Pune Experience 46 years of overall experience in software development, data engineering, AI/ML, or analytics 2+ years of hands-on experience in AI/ML and/or Generative AI solutions Role Summary Design, develop, and deploy AI-powered applications and solutions leveraging Machine Learning, Generative AI, and Agentic AI solutions. Work closely with architects, data scientists, and business stakeholders to build scalable, secure, and production-ready AI systems. Key Responsibilities AI Solution Development Develop and implement AI/ML, Generative AI & Agentic solutions for business use cases. Build applications using LLMs, RAG, AI Agents, copilots, and intelligent automation frameworks. Support model development, evaluation, deployment, and monitoring activities. Data & AI Engineering Build and maintain data pipelines, embeddings pipelines, and vector databases. Prepare, transform, and validate data for AI/ML workloads. Integrate AI services with enterprise applications and APIs. Platform & Operations Support MLOps and LLMOps processes including deployment, monitoring, and performance optimization. Develop reusable components, prompts, workflows, and AI accelerators. Contribute to AI platform enhancements and automation initiatives. Collaboration & Innovation Work with cross-functional teams to define requirements and deliver AI solutions. Evaluate emerging AI technologies, models, and frameworks. Follow AI governance, security, and Responsible AI guidelines. Required Skills Python and software development fundamentals Machine Learning, NLP, and data analytics concepts LLMs, Prompt Engineering, RAG, and AI Agent frameworks LangChain, LangGraph, LlamaIndex, or similar frameworks SQL, APIs, and data integration Docker, Git, CI/CD fundamentals AWS, Azure, or GCP exposure Job title: AI/ML Engineer Exp : 4 to 6 yrs Notice period : 1 month No of positions : 2 Location : Pune Experience 46 years of overall experience in software development, data engineering, AI/ML, or analytics 2+ years of hands-on experience in AI/ML and/or Generative AI solutions Role Summary Design, develop, and deploy AI-powered applications and solutions leveraging Machine Learning, Generative AI, and Agentic AI solutions. Work closely with architects, data scientists, and business stakeholders to build scalable, secure, and production-ready AI systems. Key Responsibilities AI Solution Development Develop and implement AI/ML, Generative AI & Agentic solutions for business use cases. Build applications using LLMs, RAG, AI Agents, copilots, and intelligent automation frameworks. Support model development, evaluation, deployment, and monitoring activities. Data & AI Engineering Build and maintain data pipelines, embeddings pipelines, and vector databases. Prepare, transform, and validate data for AI/ML workloads. Integrate AI services with enterprise applications and APIs. Platform & Operations Support MLOps and LLMOps processes including deployment, monitoring, and performance optimization. Develop reusable components, prompts, workflows, and AI accelerators. Contribute to AI platform enhancements and automation initiatives. Collaboration & Innovation Work with cross-functional teams to define requirements and deliver AI solutions. Evaluate emerging AI technologies, models, and frameworks. Follow AI governance, security, and Responsible AI guidelines. Required Skills Python and software development fundamentals Machine Learning, NLP, and data analytics concepts LLMs, Prompt Engineering, RAG, and AI Agent frameworks LangChain, LangGraph, LlamaIndex, or similar frameworks SQL, APIs, and data integration Docker, Git, CI/CD fundamentals AWS, Azure, or GCP exposure