ML Engineer

4 days ago

Bengaluru, Karnataka, India 4d309371-56ac-407c-aa1a-7552af1c4197 Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Description
What You'll Do

  • Design & build ML pipelines for astrology personalization, including:

  • Kundli classification, user segmentation, and personality inference.

  • Content generation, ranking, and transformation using LLMs.

  • Develop & fine-tune models for Hindi and multilingual NLU/NLG using LLMs and transformers.

  • Work with structured astrological data (e.g., Panchang, planetary transits) and unstructured content (texts, messages).
  • Collaborate with product and astrology domain experts to build recommendation engines for daily insights, muhurats, and horoscopes.
  • Implement and optimize pipelines using tools like LangChain, RAG, vector stores (FAISS/Chroma), and translation APIs (IndicTrans2, NLLB).
  • Experiment and deploy open-source LLMs (e.g., Qwen, Mixtral, LLaMA) in low-latency, scalable settings.
  • Evaluate and fine tune closed source LLMs like Grok, OpenAI etc
  • Drive offline and online evaluations (BLEU, ROUGE, perplexity, CTR/engagement).

You Should Have

  • 3–5 years of experience as an ML Engineer / Applied Scientist / NLP Engineer.
  • Strong in Python, ML libraries (e.g., scikit-learn, PyTorch, HuggingFace, LangChain, Translation via NLLB/IndicTrans etc).
  • Experience with LLMs, embeddings, vector search, prompt engineering, fine-tuning.
  • Exposure to Hindi/NLP challenges – tokenization, translation, emotion classification.
  • Hands-on with workflow orchestration (e.g., Airflow, Prefect, or Celery), Docker.
  • Understanding of MLOps – model versioning, evaluation, deployment (SageMaker, Triton, etc.).
  • Familiarity with modern data stack – Postgres, Redis, S3, Kafka (or alternatives).

Bonus Points

  • Background in Indian astrology or spiritual tech.
  • Built or deployed multilingual chatbots, recommendation systems, or personal assistants.
  • Contributions to open-source NLP/LLM tooling.
  • Experience with RLHF, LoRA, PEFT, or prompt-tuning techniques.

Why Join Us?

  • Be part of a once-in-a-generation consumer product rooted in Indian culture.
  • Solve uniquely Indian challenges with frontier tech (LLMs, RAG, personalization).
  • Work with a mission-driven team blending domain experts, ML engineers, and product thinkers.
  • Competitive salary, ESOPs, and freedom to shape ML foundations from Day 0.

Required Skills
['Machine Learning', 'Python']

Additional Information

Na

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