Job Summary: -

AI/ML Engineer with good hands-on experience of 3+ years in developing state of the art and scalable Machine Learning models and their operationalization, as well as designing and deploying AI Agent workflows and pipelines, leveraging off-the-shelf workbench production.

Job Responsibilities: -

Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib
Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.)
Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence
Good understanding of any of the cloud platform – AWS, Azure or GCP
Understanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plus
Should have an attitude of willingness to learn, accepting the challenging workplace and confidence in delivering the results within timelines.



Should be inclined towards self motivation and self-driven to find solutions for problems.
Agent Ops: Hands-on experience in designing, deploying, and monitoring AI agent workflows using any frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or equivalent agentic orchestration tools
Experience with prompt engineering, tool/function calling, RAG (Retrieval-Augmented Generation) pipelines, and memory/context management for multi-step agentic systems
Familiarity with LLM lifecycle management including fine-tuning, evaluation, guardrails, and deployment of foundation models via APIs (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, or equivalent)

Experience operationalizing agent-based systems including observability, tracing, latency optimization, cost monitoring, and failure handling for production-grade deployments

📌 Senior Associate (Bengaluru)
🏢 Axtria - Ingenious Insights
📍 Bengaluru