About Our Client

A company operating in the services sector within the technology and telecoms industry, based in Gurugram.

Job Description

1. Models in production

* Build, train, tune and deploy ML and deep learning models using TensorFlow or PyTorch and scikit-learn.

* Own model evaluation, optimisation, monitoring and governance - robustness, fairness, drift and scale, not just offline accuracy.

* Do the unglamorous work well: preprocessing, wrangling and feature engineering with pandas and NumPy.2. GenAI and LLM applications

* Develop GenAI applications - conversational agents, summarisation, RAG pipelines, document intelligence.

* Design retrieval and prompting strategies that hold up on messy enterprise data - and recognise when fine-tuning is the better answer.

* Instrument outputs so quality is measurable rather than anecdotal.3. Pipelines and engineering rigour

* Partner with data engineering to design scalable data and model pipelines for training and inference.

* Enforce reproducibility, testing and code quality across the team's work.4.



Leadership and communication

* Mentor data scientists, run technical reviews and promote coding excellence.

* Present findings and AI strategy to non-technical stakeholders in language that drives a decision.

The Successful Applicant

We're looking for someone who has:

* 8-10 years in data science and applied AI, including experience leading a small technical team.

* Expert Python: advanced OOP, data structures, API design and testing.

* Robust ML/DL delivery with TensorFlow and scikit-learn, and fluency in pandas and NumPy.

* Practical LLM and GenAI experience: Hugging Face Transformers, LangChain or LlamaIndex.

* Solid statistical foundations: regression, time-series, hypothesis testing and anomaly detection.

* Communication that bridges technical and business teams - clear, specific and actionable.

* A proven mentoring record and a bias for shipping over perfecting.

What's on Offer
- Permanent rol

📌 Data Science (Gurugram)
🏢 Michael Page
📍 Gurugram