Gurugram, Haryana, India
Information Technology
Full-Time
MyNaksh
Overview
Experience working with a consumer facing app startup is mandatory
About Us
We're building Bharats most personalized and culturally contextual astrology platform. Our app fuses deep astrological knowledge with cutting-edge AI to offer hyper-personalized daily guidance, Kundli insights, and life planning tools. If you're excited about building impactful ML systems that blend tradition and tech, join us.
What Youll Do
Design & build ML pipelines for astrology personalization, including :
About Us
We're building Bharats most personalized and culturally contextual astrology platform. Our app fuses deep astrological knowledge with cutting-edge AI to offer hyper-personalized daily guidance, Kundli insights, and life planning tools. If you're excited about building impactful ML systems that blend tradition and tech, join us.
What Youll 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).
- 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).
- Willingness to work from office 5 days a week
- 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.
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