ML Engineer

• 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).
  

• 35 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).
  

• 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.
  

• 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