Ready to dive into the fast‑growing world of Generative AI? HCL Tech is looking for bright, self‑motivated analysts to turn cutting‑edge research into real‑world solutions. Join a team that blends AI innovation with robust support operations across India’s tech hubs.
Company Overview & Mission
HCL Tech is a global IT services leader dedicated to “Engineering a Better World.” With a focus on digital transformation, the company empowers clients through AI, cloud, and cybersecurity services, fostering an environment where curiosity and continuous learning thrive.
Key Responsibilities & Day-to-Day Impact
- Design, develop, and test Python‑based Generative AI prototypes and proof‑of‑concepts.
- Collaborate with cross‑functional teams to integrate LLM‑driven features into existing products.
- Build and maintain prompt libraries, ensuring high‑quality outputs for NLP and computer‑vision tasks.
- Apply MLOps practices to streamline model deployment, monitoring, and scaling.
- Participate in code reviews, knowledge‑sharing sessions, and agile sprint ceremonies.
Qualifications & Requirements
| Requirement | Details |
|---|---|
| Education | Engineering degree (B.Tech/B.E.) |
| Experience | 0‑3 years (including fresh graduates) |
| Technical Skills | Strong Python proficiency; hands‑on AI/ML projects; familiarity with deep learning, NLP, LLMs, or image processing |
| Preferred Skills | NLP & computer‑vision basics; LangChain or LangGraph; MLOps tools; data engineering & big‑data concepts; prompt engineering |
| Soft Skills | Problem‑solving mindset; fast learner; strong communication; teamwork in a collaborative, fast‑paced environment |
Compensation, Benefits & Work Culture
- Competitive salary package with performance‑linked incentives.
- Comprehensive health, dental, and vision coverage.
- Generous paid time off and flexible work‑from‑office options across Noida, Hyderabad, Chennai, Bangalore, and Pune.
- Continuous learning stipend, certification support, and internal AI labs.
- Inclusive culture that celebrates diversity, mentorship, and employee‑led innovation.
