Contractor

HCL Technologies•Aitkin, MN

16h

About The Position

About HCLTech HCLTech is a global technology company, spread 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. We re powered by our people a global, diverse, multi-generational talent - representing 161 nationalities whose unique spark, perspective and boundless passion drive our culture of proactive value creation and problem-solving. Our purpose is to bring together the best of technology and our people to supercharge progress for everyone, everywhere our clients, partners, their stakeholders, communities, and the planet. As a company, we are deeply focused on accelerating our ESG agenda. We are also creating technology-enabled sustainable solutions with and for our clients and partners. We embed ESG imperatives into every aspect of our business and ensure that the progress we supercharge is responsible, inclusive and beneficial to all our stakeholders in the long term. We have committed to achieving net zero by 2040. To learn more about how we can supercharge progress for you, visit www.hcltech.com

Requirements

5+ years of relevant experience in AI/ML, data, or applied machine learning.
Strong hands-on experience with: Azure AI Foundry, Azure Document Intelligence, Vector databases (Azure AI Search), Other Azure components, Python, including data processing, API development, and Streamlit
Good understanding of LLMs, embeddings, RAG architecture, and prompt engineering.
Solid experience with Microsoft Azure ecosystem (Azure OpenAI, Storage, App Service/Functions, Key Vault).
Strong SQL or Snowflake experience.
Proven delivery of real-world, production-grade document intelligence projects.
Excellent business communication and stakeholder interaction skills.

Nice To Haves

Experience with LLM evaluation and monitoring.
Exposure to MLOps, CI/CD, or Azure DevOps.
Experience with invoices, contracts, or form-processing use cases.

Responsibilities

Design and implement end-to-end document intelligence solutions using Azure AI Foundry .
Build and manage LLM workflows, prompts, and evaluations using Azure AI Foundry / Prompt Flow.
Develop RAG pipelines leveraging vector databases (Azure AI Search etc.).
Perform document ingestion, OCR, preprocessing, chunking, and normalization using Python.
Build and expose REST APIs for AI services using Python.
Apply prompt engineering to improve response accuracy and grounding.
Evaluate and select OCR, embedding, and LLM models based on business needs.
Troubleshoot and optimize AI pipelines for performance and scalability.
Write and optimize SQL or Snowflake queries for data analysis and validation.
Build quick internal tools and demos using Streamlit for business users.
Communicate effectively with stakeholders on requirements, results, and limitations.