Data Scientist / GenAI Engineer

 Design, test, and optimise LLM-driven solutions for real business use cases

- Create, refine, and manage high-quality prompts, workflows, and agent setups

- Rapidly prototype GenAI applications using existing tools, APIs, and platforms

- Evaluate LLM outputs for accuracy, bias, safety, and reliability

- Stay current with new LLM models, tools, and GenAI trends, and apply them pragmatically

- Collaborate with business and technical teams to translate ideas into working AI solutions

- Continuously improve the performance, efficiency, and cost-effectiveness of LLM usage

What you'll need
- Strong background in Mathematics, Statistics, or Computer Science.
- Experience with deep learning frameworks like PyTorch or TensorFlow.
- Proven track record of publishing research or developing scalable AI systems.
- Key Skills : PyTorch, LLM Finetuning, Langchain, LangGraph, Other Generative AI Frameworks

Qualifications
Bachelor's degree in Computer Science, Data Science, or a related field (Master's or PhD preferred).

Additional Competencies
- Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus.
- Strong communication skills and ability to work in a collaborative team environment.