2–5 yrsAhmedabadOn-siteDirect career pageEst. 6–15 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and operationalise machine learning and generative AI systems from prototype to production.
- Develop and fine-tune LLM-based and agentic applications including RAG pipelines and tool use with focus on accuracy, latency, and cost optimization.
- Automate data pipelines and package models as scalable APIs using containerization, CI/CD, and MLOps for deployment and monitoring.
Minimum Requirements
- 2-5 years of work experience in AI/ML or related roles.
- Degree in Computer Science, IT, Engineering, Mathematics, Statistics, or related quantitative field (B.E./B.Tech, M.Tech, B.Sc., M.Sc., MCA).
- Proficient in Python programming and experience with ML/DL frameworks (scikit-learn, PyTorch, TensorFlow).
- Experience with LLM APIs, prompt engineering, agent frameworks (LangChain, LangGraph, MCP), RAG, vector databases, SQL, cloud platforms (AWS, Azure, or GCP), and MLOps tools.
Ideal Candidate Profile
- Experienced in deploying and optimizing ML models in production environments with strong operational ownership.
- Skilled in working with LLMs, agentic applications, and cutting-edge AI tools and frameworks relevant to generative AI.
- Comfortable working in fast-evolving tech landscapes requiring structured problem-solving and critical evaluation of AI outputs.