Job Title
Design, Train and Deploy AI Models for Autonomous Exception Resolution and Anomaly Detection.
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Key Responsibilities
* Develop and fine-tune ML/LLM models using OpenAI GPT, Anthropic Claude, Google Gemini and Meta LLaMA.
* Implement retrieval-augmented generation (RAG) pipelines using LangChain, LangGraph and MCP.
* Collaborate with data engineering to maintain data pipelines for ML workloads.
* Conduct feature engineering and embeddings generation on structured and unstructured data.
* Monitor model performance, detect drift and retrain as needed.
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Required Qualifications
* Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning or related field.
* 3+ years building and deploying AI systems.
* Strong Python skills and experience with PyTorch, TensorFlow and Scikit-Learn.
* Familiarity with vector databases, embeddings and RAG pipelines.
* Hands-on experience with agentic frameworks including LangChain, LangGraph and MCP.
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Benefits
* Opportunity to work with cutting-edge AI technologies.
* Collaborative environment with experienced engineers and researchers.
* Professional development opportunities including mentorship and training.
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