Analyst (Support & Operations)

Round 1: Online Assessment (aptitude + coding) → Round 2: Technical Interview (AI/ML concepts, Python, projects) → Round 3: HR Interview (fitment, motivations)

HCL is known for its employee‑first culture, offering flexible work arrangements, regular upskilling programs, and a clear career progression framework. The company promotes a balanced work‑life environment while encouraging innovation through its "IdeaStorm" platform and internal hackathons.

HCL's interview process typically starts with a timed online assessment focusing on aptitude and coding. The technical interview dives deep into AI/ML fundamentals, Python programming, and project experience, often including scenario‑based questions. The final HR round assesses cultural fit, communication skills, and career aspirations. Candidates should practice problem‑solving speed, be ready to discuss their AI projects in detail, and demonstrate enthusiasm for learning.

Engineering degree (B.Tech/B.E.) in Computer Science, Information Technology, Electronics, or related fields; CGPA/percentage ≥ 6.5/70%; batch years 2022‑2025; no active backlogs at the time of joining; must have 0‑3 years of experience (including fresh graduates); strong foundation in Python and basic AI/ML concepts.

HCL Technologies is a global IT services giant headquartered in Noida, India, with a presence in over 50 countries. The company offers end‑to‑end technology solutions ranging from infrastructure management to digital transformation, AI, and cloud services. Known for its "Mode 1-2-3" strategy, HCL blends core services, next‑generation digital offerings, and ecosystem partnerships to drive innovation for Fortune‑500 clients. The work culture emphasizes continuous learning, employee empowerment, and a strong focus on delivering value through technology. The Analyst (Support & Operations) role is positioned within HCL’s Generative AI practice. Fresh engineering graduates and early‑career professionals will work on building AI agents using cutting‑edge frameworks such as LangChain and LangGraph, develop Python‑based pipelines on cloud AI platforms, and contribute to the full lifecycle of AI/ML projects. The role offers a blend of hands‑on technical exposure and collaborative problem‑solving, making it an ideal entry point for candidates passionate about generative AI and real‑world deployments. **Key Responsibilities** 1. Design, develop, and deploy AI agents using LangChain, LangGraph, and Python on cloud platforms (AWS, Azure, GCP). 2. Collaborate with product, data, and engineering teams to translate business requirements into technical specifications. 3. Collect, clean, and preprocess datasets required for model training and evaluation. 4. Assist senior members in fine‑tuning large language models for performance, scalability, and reliability. 5. Conduct experiments, benchmark results, and document findings for continuous improvement. 6. Maintain comprehensive documentation of code, data pipelines, and model versioning. 7. Participate in code reviews and adopt best practices for software engineering in AI projects. 8. Stay updated with the latest research in generative AI, LLMs, and related ML techniques, and propose innovative solutions. 9. Provide operational support for deployed models, monitoring health metrics and troubleshooting issues. 10. Mentor peers and contribute to a culture of knowledge sharing within the team. **Tech Stack**: Python, LangChain, LangGraph, PyTorch/TensorFlow, AWS SageMaker, Azure AI, GCP Vertex AI, Docker, Git, CI/CD pipelines. **Growth Path**: Analysts can progress to Senior Analyst, AI Engineer, Lead Engineer, and eventually AI Architect or Project Lead, with opportunities to specialize in NLP, computer vision, or platform engineering. **Why Join HCL**: HCL offers a structured learning ecosystem, global exposure to marquee clients, and a supportive environment that rewards innovation. Fresh talent gets mentorship from seasoned AI professionals, access to internal labs, and the chance to work on products that impact millions of users worldwide.