Senior Data Science Specialist

Job Description

Senior Data Science Specialist

Bengaluru, Karnataka

Job Summary

An accomplished Principal / Expert Data Scientist with 10+ Year of experience and having deep expertise & hands-on in classical machine learning, GenAI Applications & ML lifecycle,

Key Responsibilities

Key Responsibilities

1. Machine Learning & Statistical Modelling

• Build and optimize complex ML models: regression, classification, clustering, sequence models, time series forecasting.
• Lead sophisticated feature engineering and data quality analysis.
• Apply statistical modelling techniques, experimental design, and Performance evaluation.
• Develop scalable and maintainable ML pipelines for structured and unstructured data.

2. GenAI & LLM Systems

• Architect and develop LLM-based applications using SOTA LLM's.
• Build RAG pipelines using vector databases (faiss, aisearch, opensearch, PG vector etc).
• Integrate GenAI systems with enterprise apps, APIs, and data sources.
• Model Context Protocol (MCP) & Tooling
• Exposure of Agentic systems and multi-agent workflows

3. Agentic Systems & Model Context Protocol (MCP)

• Exposure to agentic system design, including tool‑calling workflows, planner-executor patterns, and multi‑agent coordination.
• Integrate memory architectures such as episodic, semantic, and vector‑based long‑term memory within agent workflows.
• Implement and manage Model Context Protocol (MCP) servers to enable seamless connectivity between LLMs, tools, APIs, and enterprise applications.
• Collaborate with engineering teams to build reliable, extensible agent tooling and ensure smooth integration into production environments.

4. Cloud ML-Ops & Quality

• ML Modelling, data drift, concept drift, model quality monitoring.
• Hands‑on experience across AWS/ Azure/ Databricks, with flexibility to work on any cloud platform.
• Adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Git, GitHub, Markdown)

5. Leadership & Collaboration

• Lead technical direction for AI solutions.
• Work with product teams to define AI features.

Skill Requirements

Required Skills & Experience

• 10+ years in Classical ML, GenAI & ML-Ops.
• Strong experience in:
• Python, PySpark, SQL, Scikit-Learn, XGBoost, LightGBM, Random Forest
• LangChain, LangGraph, LangSmith (tracing, metrics, evaluations)
• MLflow / Sagemaker / Databricks
• Docker, Git-Ops
• Experience building production-grade GenAI applications.
• Skilled in EDA, DOE, and model evaluation metrics for identifying data patterns, validating hypotheses, and improving model quality

Other Requirements

BE or Equivalent Degree

Apply now

Information at a Glance

Why HCLTech?

At HCLTech, youll supercharge your potential. Youll find your career. And youll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.