Machine Learning Engineer (SDE2)

Role & responsibilities

Preferred candidate profile

Machine Learning Engineer (SDE2)

Experience:

Salary :

Preferred Notice Period

Shift

Opportunity Type:

Placement Type:

(*Note: This is a requirement for one of Uplers' Clients)

Must have skills required :

LLM, rag, Vector Database OR Pinecone OR Pinecone/ Weaviate/ FAISS/ ChromaDB, Chatbots OR Conversation AI

MyNaksh (One of Uplers' Clients) is Looking for:

Machine Learning Engineer (SDE2) who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.

Role Overview Description

Job Title

Location

Experience

Role Type

Level:

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 You’ll Do

• Design and implement AI-powered chat pipelines for astrological insights (multi-turn conversations, context memory, personalization).
• Build and optimize LLM orchestration layers (prompting, routing, fallback across models like OpenAI, Claude, Qwen, LLaMA).
• Implement vector search (Qdrant, Pinecone, FAISS) for context retrieval from classical astrological texts and user history.
• Develop evaluation frameworks for chat responses (relevance, cultural tone, mysticism, hallucination control).
• Optimize for scalability, latency, and cost in a production chat system (prompt caching, batching, precomputation).
• 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

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.).
• Hands-on experience with LLMs (OpenAI, Mistral, LLaMA/Qwen, Claude, etc.).
• Experience building conversational AI or chatbot systems (context memory, dialog management).
• Familiarity with vector databases (Qdrant, FAISS, Pinecone).
• Strong understanding of system design, caching, and scalability in cloud infra (AWS preferred).
• 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.

How to apply for this opportunity:

Easy 3-Step Process:

2. Upload updated Resume & Complete the Screening Form

3. Increase your chances to get shortlisted & meet the client for the Interview!

About Our Client:

MyNaksh is an AI-powered platform that aims to make astrology more accessible and engaging for modern India. We're building Bharat’s most personalised and culturally contextual astrology platform. Our app fuses deep astrological knowledge with cutting-edge AI to offer hyper-personalised daily guidance, Kundli insights, and life planning tools. If you're excited about building impactful ML systems that blend tradition and tech, join us.

About Uplers:

Uplers is the #1 hiring platform for SaaS companies, designed to help you hire top product and engineering talent quickly and efficiently. Our end-to-end AI-powered platform combines artificial intelligence with human expertise to connect you with the best engineering talent from India.

With over 1M deeply vetted professionals, Uplers streamlines the hiring process, reducing lengthy screening times and ensuring you find the perfect fit. Companies like GitLab, Twilio, TripAdvisor, and AirBnB trust Uplers to scale their tech and digital teams effectively and cost-efficiently.

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