Machine Learning Engineer - 2

Weekday; Bengaluru; On-site; INR 2,000,000 - 3,500,000; Full time

Job summary

MyNaksh in Bengaluru is seeking an Associate-level ML Engineer to build production-grade ML/AI systems. You will develop LLMs, RAG workflows, and personalized AI experiences at scale within a fast-growing AI astrology platform.

Ideal candidates have 3–5 years in ML, NLP, or GenAI, strong Python skills, and hands-on experience deploying ML/AI systems to production. You will collaborate with Product and Backend teams to ship high-impact features.

Qualifications

• 3–5 years in ML, NLP, or GenAI engineering.
• Strong Python and software fundamentals.
• Experience deploying ML/AI systems to production.

Responsibilities

• Build production-grade ML/AI systems end-to-end.
• Develop LLM, RAG, conversational AI, and agentic workflows.
• Work on personalization, memory, recommendations, and user intelligence.
• Build LLM orchestration, evaluation, and optimization systems for quality, latency, and cost.
• Combine structured astrology intelligence with ML, retrieval, and LLM reasoning.
• Work closely with Product, Backend, and other teams to ship impactful features at scale.

Skills

ML engineering

Python

NLP

GenAI

Production systems

Tools

LangChain

LangGraph

Vector databases

Hugging Face

MLOps

LLM evaluation

Job description

This role is for one of our clients

Seniority level: Associate level

Industry: Technology, Information and Internet Company Name: MyNaksh

Experience: 3+ yrs

Location: Bengaluru

Job Type: Full-time

₹20,00,000 - ₹35,00,000 a year

About this Role

We’re building AI that can form genuine, long-term relationships with people. For the first time in history, millions of people are building relationships with AI. MyNaksh is at the forefront of this shift, combining conversational AI across chat and voice with deep expertise in domains where people share highly personal parts of their lives. We started with astrology, where our 2M+ users tell us everything about their relationships, careers, families, ambitions, fears and day‑to‑day lives. Over time, this gives us something extremely rare: rich, longitudinal data that allows us to understand people as evolving individuals rather than as isolated interactions. Historically, the ability to build this depth of understanding about millions of individuals was a moat reserved for companies like Google and Facebook. We believe that is changing. The next generation of AI products will be defined not just by how intelligent the underlying model is, but by how deeply the AI understands each individual and how well it can build a relationship with them over time. Our ambition is to use what we’ve built in astrology as a foundation for AI that can build relationships across domains - from matchmaking and companionship to other deeply personal and professional use cases. For a Machine Learning Engineer, this means working on some of the hardest problems at the intersection of AI, personalization and human relationships: building models that understand users deeply, learn from long‑term interactions, develop persistent context and deliver increasingly personalized conversations at scale. This is in our opinion the most exciting work in frontier AI today - figuring out how AI learns to know a person, and how that person can trust our AI more than anyone else in their world.

What You’ll Do

• Build and own production‑grade ML/AI systems end-to‑end
• Develop LLM, RAG, conversational AI, and agentic workflows
• Work on personalization, memory, recommendations, and user intelligence
• Build LLM orchestration, evaluation, and optimization systems for quality, latency, and cost
• Combine structured astrology intelligence with ML, retrieval, and LLM reasoning
• Work closely with Product, Backend, and other teams to ship impactful features at scale

What We’re Looking For

• 3–5 years in ML, Applied ML, NLP, or GenAI engineering
• Strong Python and software engineering fundamentals
• Hands‑on experience with LLMs, RAG, embeddings, vector search, or conversational AI
• Experience deploying ML/AI systems to production
• Strong understanding of ML fundamentals, evaluation, APIs, system design, scalability, and cloud
• Ability to own problems end-to-end: design → build → evaluate → production

Good to Have

LangChain/LangGraph, vector databases, Hugging Face/open‑source LLMs, MLOps/LLM evaluation, recommendation systems, or Indic/multilingual NLP.

About the company

MyNaksh is India's fastest‑growing AI astrology platform. - raised ~$2M in VC funding - 1M MAUs - $2M in ARR All in ~7m since launch, focusing on building trust and offering mass India world‑class experiences. Next 6m hyperscale phase > 10M MAUs, $15M ARR, going global + adjacent markets.

Must-have skills

Machine Learning, Conversational AI

Good‑to‑have skills

LLM, B2C