Position: Gen AI Specialist
Location: Hybrid – Bengaluru, Pune, Gurugram, Hyderabad
Work timings: 2 pm to 10 pm IST ( 4 hours overlap with NORAM team)
Required skills:
- Design, build, and optimize machine learning, GenAI, and statistical models to solve complex cross‑domain business challenges.
- Develop reproducible, scalable workflows using modern MLOps practices; conduct rigorous model evaluation and continuous improvement for accuracy, reliability, and fairness.
- Architect end‑to‑end AI systems including data pipelines, vector databases, orchestration layers, and deployment frameworks.
- Explore and implement advanced LLM techniques, including embeddings, retrieval‑augmented generation (RAG), agentic workflows, tool use, memory, and multimodal reasoning.
- Build production‑grade GenAI applications using LangChain, LangGraph, and ecosystem tools for orchestration, evaluation, and deployment.
- Experiment with foundation models across open‑source and commercial platforms to identify best‑fit models for business use cases.
- Develop and operationalize scalable APIs—preferably with FastAPI (Python)—to integrate ML/GenAI components with enterprise systems, SaaS products, and data platforms.
- Collaborate on deployment patterns including microservices, serverless, and containerized workloads (Docker/Kubernetes).
- Architect and deploy AI solutions on Azure, Google Cloud Platform (GCP), or AWS, leveraging managed AI/ML services (Azure ML, Vertex AI, SageMaker), vector search, and serverless compute.
- Ensure security, scalability, compliance, and monitoring in all cloud‑based AI deployments.
