AI / ML Engineer

• Role: AI / ML Engineer
• Location: Kalyan, Maharashtra
• Experience: 0–2 years
• Job Type: Full Time Employment
• Work Mode: Hybrid — 2–3 days a week in the Kalyan office, the rest remote
• Posted: 27 September 2026

About the Role:

Put AI to work inside ATOCONN's products and client projects: assistants over business data, document extraction, forecasting and classification. You build with Python, LLM APIs and standard ML tooling, and you ship features people use rather than notebooks that sit still.

What You’ll Do:

• Build LLM-powered features: retrieval over client documents, assistants, summarisation and extraction, with evaluation.
• Train and deploy classical ML models for forecasting, scoring and anomaly detection on business data.
• Prepare and clean data with Python, pandas and SQL, and document what the data means.
• Wrap models as APIs (FastAPI or Spring Boot) and integrate them into the product with the platform team.
• Measure quality and cost, and improve prompts, retrieval and models from the numbers.

What You’ll Bring:

• 0–2 years in ML, data science or AI engineering, or a strong degree project in the area.
• Python with pandas, scikit-learn and at least one deep-learning or LLM toolkit (PyTorch, Hugging Face, OpenAI / Gemini APIs, LangChain or similar).
• SQL and the basics of data modelling.
• Ability to explain a model's behaviour and limits to a non-technical client.

Good to Have:

• Vector databases, embeddings and RAG pipelines.
• MLOps basics: experiment tracking, model versioning, monitoring.
• Cloud AI services on AWS, Azure or GCP.

What You’ll Learn:

• Shipping AI that runs for paying clients in banking, education, manufacturing and healthcare.
• ATOCONN's AI-first product strategy and the platform it sits on.
• Working end to end: data, model, API, UI and support.

Work Location:

Kalyan, Maharashtra. Hybrid — 2–3 days a week in the Kalyan office, the rest remote.

How We Hire:

1. Apply. Send your resume and a short note through the form. We confirm receipt the same day.
2. Intro call. A 30-minute call within five working days: your background, the role, your questions.
3. Practical round. A small, realistic task for the track, then a discussion of how you approached it.
4. Meet the team. A conversation with the people you would work with, followed by an offer if it is a fit.