Analyst – Generative AI

Round 1: Online aptitude & coding test → Round 2: Technical interview (AI concepts, coding, project discussion) → Round 3: HR interview (fitment, motivations, salary expectations)

HCL promotes a collaborative environment where learning and innovation are encouraged. Employees benefit from structured mentorship programs, regular skill‑upgradation workshops, and a balanced work‑life approach with flexible timings and remote‑work options where applicable.

HCL's interview process typically starts with a timed online test focusing on aptitude, coding, and basic AI concepts. Successful candidates move to a technical interview where interviewers probe deeper into Python, ML fundamentals, and project experience, often asking you to design a simple AI workflow. The final HR round assesses cultural fit, communication skills, and career aspirations. Preparation should include mock tests, revisiting core AI topics, and practicing clear articulation of your projects.

Graduates (B.Tech/B.E., B.Sc., M.Tech, MCA) from any stream with a minimum of 60% aggregate (or CGPA 6.0/10). Final year students can also apply. No active backlogs at the time of joining. Batch years 2024‑2027 are preferred. Strong analytical ability and a keen interest in AI/ML are essential.

HCL Technologies is a global IT services giant headquartered in Noida, India, with a presence in over 40 countries. The company offers end‑to‑end technology solutions across domains such as cloud, digital, engineering, and emerging technologies. Known for its strong focus on innovation, HCL invests heavily in research labs and collaborates with leading academic institutions to stay ahead of the technology curve. The work culture emphasizes "Ideapreneurship", encouraging employees to turn ideas into business value, and provides a clear career progression path from analyst to senior leadership roles. The Analyst – Generative AI role is designed for fresh graduates who are passionate about building intelligent agents that can understand and generate human‑like content. As a member of the AI Solutions team, you will work on cutting‑edge projects that leverage large language models, multimodal AI, and cloud‑native deployment pipelines. You will receive mentorship from senior AI engineers and have the opportunity to contribute to products that impact customers across finance, healthcare, and retail sectors. Key Responsibilities: 1. Design, develop, and deploy AI agents using LangGraph, LangChain, and Python on cloud AI platforms. 2. Collaborate with product owners and business analysts to translate functional requirements into technical specifications. 3. Collect, clean, and preprocess diverse datasets for model training, validation, and testing. 4. Assist senior engineers in fine‑tuning large language models for performance, scalability, and reliability. 5. Conduct experiments to evaluate model accuracy, latency, and resource utilization. 6. Document code, experiments, and deployment procedures comprehensively. 7. Stay updated with the latest research in Generative AI, LLMs, and related ML techniques, and propose integration ideas. 8. Participate in code reviews, knowledge‑sharing sessions, and continuous learning initiatives. 9. Support the operations team in monitoring deployed agents and troubleshooting issues. 10. Contribute to building reusable libraries and frameworks that accelerate future AI projects. Tech Stack: Python, LangChain, LangGraph, PyTorch/TensorFlow, Docker, Kubernetes, AWS/GCP/Azure AI services, Git, CI/CD pipelines, REST APIs. Growth Path: Starting as an Analyst, you can progress to AI Engineer, Senior AI Engineer, AI Solution Architect, and eventually to AI Practice Lead or Product Manager, depending on your interests and performance. HCL offers regular skill‑upgradation programs, certifications, and internal mobility opportunities. Why Join HCL? You will work on real‑world Generative AI applications under seasoned mentors, gain exposure to cloud‑native AI deployments, and be part of a company that values innovation and employee growth. The role offers a competitive salary, flexible work arrangements, and a vibrant community of technologists. Overall, this position is an excellent launchpad for fresh talent eager to dive deep into Generative AI while building a solid foundation for a long‑term tech career.