- High-Impact Product & Client Exposure
- Digital Engineering + AI-Led Innovation

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

Job Description
- 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.
- Solid 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 - explicit, specific and actionable.
- A proven mentoring record and a bias f

📌 Data Science (Gurugram)
🏢 Michael Page
📍 Gurugram