Technical Lead

HCL Technologies Limited; Bengaluru; Hybrid; INR 2,400,000 - 3,600,000; Full time

Job summary

HCL Technologies Limited seeks an experienced Applied AI/ML engineer to design, develop and deploy enterprise AI/ML solutions in cloud environments. Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Scikit-Learn) and hands-on work with LLMs, RAG, NLP, semantic search, and document intelligence is required.

The role involves building AI-powered summarization, classification, recommendation and decision-support systems using Azure AI Services, Azure OpenAI, Databricks and Azure ML,

Qualifications

• 3+ years of enterprise AI/ML solution design, development and deployment in cloud environments.
• Proficiency in Python and ML frameworks; experience with LLMs, RAG, NLP, semantic search, and document intelligence.
• Experience building AI-powered summarization, classification, recommendation and decision-support systems.
• Experience with Azure AI Services, Azure OpenAI, Databricks, Azure ML; knowledge of MLOps, monitoring and evaluation and responsible AI practices.

Responsibilities

• Applied AI development across enterprise environments.
• Design, develop and deploy AI/ML solutions in cloud platforms.
• Leverage Python and ML frameworks including PyTorch, TensorFlow and Scikit-Learn.
• Implement LLM/RAG-based NLP, semantic search and document intelligence features.
• Build AI-powered summarization, classification, recommendation and decision-support modules.
• Utilize Azure AI Services, Databricks and Azure ML; apply MLOps and monitoring practices.

Skills

Python

PyTorch

TensorFlow

Scikit-Learn

LangChain

LLMs

RAG

NLP

Semantic search

Document intelligence

Azure AI Services

Azure OpenAI

Databricks

Azure ML

MLOps

Model monitoring

Model evaluation

Responsible AI

Communication

Stakeholder collaboration

Job description

• Applied AI development.
• 3+ years of experience designing, developing, and deploying enterprise AI/ML solutions in cloud environments.
• Strong proficiency in Python and AI/ML frameworks such as PyTorch, TensorFlow, Scikit-Learn, LangChain, or similar. Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), NLP, semantic search, and document intelligence solutions
• Experience building AI-powered summarization, classification, recommendation, and decision-support systems
• Experience with Azure AI Services, Azure OpenAI, Databricks, Azure ML, or equivalent cloud AI platforms. Knowledge of MLOps, model monitoring, model evaluation, and responsible AI practices
• Strong analytical, communication, and stakeholder collaboration skills.

Key Responsibilities

• Applied AI development.
• 3+ years of experience designing, developing, and deploying enterprise AI/ML solutions in cloud environments.
• Strong proficiency in Python and AI/ML frameworks such as PyTorch, TensorFlow, Scikit-Learn, LangChain, or similar. Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), NLP, semantic search, and document intelligence solutions
• Experience building AI-powered summarization, classification, recommendation, and decision-support systems
• Experience with Azure AI Services, Azure OpenAI, Databricks, Azure ML, or equivalent cloud AI platforms. Knowledge of MLOps, model monitoring, model evaluation, and responsible AI practices
• Strong analytical, communication, and stakeholder collaboration skills.

Skill Requirements

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll 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 2026totaled $14.8billion.