GenAI / ML Engineer:
Python & Async Frameworks: Solid proficiency in Python 3.x and async web frameworks like Rapid API or Celery to build high-throughput, multi-tenant background processing microservices.
GenAI & LLM Orchestration: Hands-on experience with LLM APIs (Google Gemini/Vertex AI or OpenAI) and utilizing tools like Pydantic to enforce strict structured JSON outputs from unstructured data.
Agile Prompt Engineering: Expertise in designing complex system instructions, few-shot prompting templates, and managing advanced model parameters like thinking budgets or temperature.
Cloud Storage & Data Pipelines: Proficient in managing cloud data streams (Google Cloud Storage or S3) to ingest document assets (PDFs/Images) and orchestrating async polling workflows with automated retry logic.
ML Ingestion & Evaluation: Experience with ML preprocessing tools (Pandas, NumPy, OCR engines) and setting up statistical thresholds to evaluate extraction confidence scores and failure metrics.
📌 Genai / Ml Engineer Sri Bengaluru (India)
🏢 Tata Consultancy Services
📍 India
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