Lead Data Scientist

We are looking for an experienced Machine Learning and AI development lead with 15+ years

of expertise in designing, building, and scaling ML and AI systems. This role is ideal for a senior

engineer who can define ML architecture, lead engineering direction, and remain hands-on with

modern LLMs, agentic frameworks, and cloud-native ML platforms.

You will work closely with engineering, product, data, and platform teams to architect and

development end-to-end ML solutions, build high-impact AI capabilities, and ensure our

e-commerce platform remains intelligent, reliable, and scalable.

This is a product development role for the HCL Software Commerce product.

Hands-on development is required in this role. There will be programming tests during

the interview process. The use of AI in these tests will disqualify candidates.

About HCL Software:

HCL Software is the software business division of HCLTech, fueling the Digital+ Economy with

its modern day products.

About HCL Commerce:

HCL Commerce is a robust and scalable e-commerce platform that supports various business

models including B2C, B2B, B2B2C, D2C, and MarketPlaces. Known for its enterprise-grade

performance, HCL Commerce offers advanced features and AI capabilities to enhance online

transactions and customer experiences.

Key Responsibilities

AI Development Lead

Define the overall architecture for ML systems, model lifecycle, data flows, and AI

platform components.

Lead technical strategy for LLMs, agentic AI, retrieval systems, vector search, and

production ML deployments.

Experience in mentoring and providing design assistance, code reviews, etc. is a

mandatory skill.

Hands-On Model Development

Design, build, and deploy end-to-end machine learning and deep learning models using

Python.

Lead fine-tuning and training workflows for LLMs, diffusion models, and

transformer-based architectures.

Implement LoRA, QLoRA, PEFT, and other parameter-efficient tuning methods.

Agentic & LLM-Powered Systems

Architect and build intelligent systems using modern agentic frameworks (CrewAI,

LangChain, LlamaIndex, etc.).

Design AI solutions for search, recommendations, personalization, ranking, and

operations automation.

Develop scalable RAG pipelines, vector stores, and retrieval strategies for production

workloads.

Experience with NVIDIA Cuda frameworks is nice to have.

Data & Pipeline Architecture

Architect robust data pipelines for feature generation, ML model training, and inference

workflows.

Ensure consistency, data quality, and governance for ML-ready datasets.

Partner with data engineering teams to operationalize high-scale batch and streaming

pipelines.

Performance, Scaling & Reliability

Optimize models for latency, throughput, GPU utilization, and cost efficiency.

Define SLAs/SLOs for model services and ensure system reliability at production scale.

Lead troubleshooting, incident analysis, and continuous improvement for AI systems.

Coding, Reviews & Engineering Excellence

AI driven workflow experience using Copilot, Claude Code, Windsurf, etc. is required.

Stay hands-on with coding, PoCs, model implementation, and pipeline development.

Conduct design and code reviews; enforce best practices in ML engineering and

software craftsmanship.

Introduce standards for testing, reproducibility, evaluation, and CI/CD for ML.