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 B2 C, B2 B, B2 B2 C, D2 C, and Market Places. 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 Lo RA, QLo RA, PEFT, and other parameter-efficient tuning methods.
Agentic & LLM-Powered Systems
● Architect and build intelligent systems using modern agentic frameworks (Crew AI,
Lang Chain, Llama Index, 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, Po Cs, 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.