Drive AI research strategy and build scalable NLP and Generative AI solutions. Develop prompt engineering, fine-tuning, RAG, model evaluation, experimentation, and optimization pipelines while collaborating with AI Engineering teams. The role emphasizes scientific thinking, reproducibility, ownership, technical leadership, continuous innovation, and progressively increasing responsibility.
Role Summary
Drive AI research strategy, scalable experimentation, fine-tuning pipelines, and technical leadership.
Build and improve NLP and Generative AI solutions through prompt engineering, fine-tuning, RAG, model evaluation, experimentation, optimization,
collaboration with AI Engineering teams, and continuous innovation. Ownership
increases progressively with experience.
Python, NLP, LLMs, HuggingFace, PyTorch, Prompt Engineering, RAG, Vector Databases, Docker, Linux, GPU-based training, and AI evaluation appropriate
to the experience level.
Scientific thinking, ownership, experimentation, collaboration, reproducibility, and continuous learning.
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To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
