Python ML Engineer AI/NLP Pipelines

2 weeks ago

Bengaluru Hyderabad Pune, India MenuWise Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Work on data processing, ML inference pipelines, and API development.

This is a practical engineering role focused on clean, scalable code, not ML research.

You will work on:

  • Text/data parsing
  • Classification pipelines
  • Model inference services (FastAPI)
  • Performance optimisation (batching, vectorisation)
  • Small ML/NLP models in production environments

Key Skills (Must Have)

  • Python (3+ years) production environment
  • FastAPI or Flask
  • pandas / numpy (data cleaning / preprocessing)
  • scikit-learn (basic ML)
  • Text processing / regex / NLP fundamentals
  • Docker & deployment basics
  • Model optimisation or inference experience (ONNX / batching / vectorisation)

Good to Have (Optional)

  • Hugging Face transformers (basic usage)
  • Experience with embeddings or multi-label classification
  • Exposure to ONNX Runtime / quantization
  • AWS / GCP deployment basics
  • Git, CI/CD, testing experience

Responsibilities

  • Build and maintain Python microservices for ML inference
  • Implement batching, caching, and performance improvements
  • Parse real-world product data and clean text fields
  • Integrate lightweight ML/NLP models into APIs
  • Work closely with international backend + data teams

What We Offer

  • Work on a global SaaS platform used by chefs worldwide
  • Modern tech: FastAPI, model optimisation, lightweight NLP
  • Opportunities to grow into ML Engineering or MLOps
  • Collaborative international culture

Why This Role is Exciting

  • Have you ever wanted to build ML pipelines using real-world messy data, not just Kaggle?
  • Would you enjoy owning a full flow: parse clean infer output?
  • Interested in learning ONNX, quantisation, optimisation, and batch inference?
  • Want to work on a global SaaS product used daily by chefs, dietitians, and foodservice operators?
  • Keen to modernise a 20-year-old platform using Python, FastAPI, and practical AI?

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