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Gen AI / ML Engineers - pri

  • Source: Naukri
  • Tata Consultancy Services
  • On-site
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

Python / GenAI / ML Engineer:

  • Python & Async Frameworks: Strong proficiency in Python 3.x and async web frameworks like FastAPI 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.
  • Dynamic 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.

Skills

  • Python
  • FastAPI
  • Celery
  • Gemini
  • vertex
  • JSON
  • google-cloud-storage
  • google-cloud-platform
  • Pandas
  • NumPy
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