Data Scientist

We are seeking a talented Lead/Senior Engineer AI/LLM Developer to join our team and drive the development of cutting-edge artificial intelligence solutions using large language models. In this role, you will design, build, and optimise LLM-based applications that solve complex business problems while maintaining high standards of performance, scalability, and reliability.

Responsibilities:

• Design and implement sophisticated AI applications leveraging state-of-the-art LLM technologies.
• Develop efficient solutions for LLM integration, fine-tuning, and deployment.
• Optimise model performance, latency, and resource utilisation.
• Build and maintain robust data pipelines for training and inference.
• Implement advanced prompt engineering techniques and retrieval-augmented generation (RAG).
• Develop evaluation frameworks to measure AI system performance and output quality.
• Collaborate with cross-functional teams to understand requirements and deliver solutions.
• Mentor junior developers and share AI/LLM knowledge across the organisation.
• Participate in code reviews and ensure adherence to best practices.

Requirement: s

• 5+ years of software development experience with at least 3 years focused on AI/ML technologies.
• Strong experience working with transformer-based models and LLM APIs.
• Proficiency in Python and relevant AI/ML frameworks (PyTorch, TensorFlow, Hugging Face).
• Experience with vector databases and semantic search technologies.
• Solid understanding of prompt engineering, RAG, and fine-tuning techniques.
• Familiarity with cloud platforms (AWS, Azure, GCP) for AI model deployment.
• Strong problem-solving skills and attention to detail.
• Experience with LLM optimisation techniques like quantisation and distillation.
• Knowledge of AI evaluation metrics and benchmarking methodologies.
• Understanding of multimodal AI systems (text, image, audio)
• Experience with containerization and orchestration tools (Docker, Kubernetes).
• Contributions to open-source AI projects or research publications.
• Familiarity with AI ethics and responsible AI development
• Bachelor's degree in computer science, AI, Machine Learning, or related field.
• Master's in AI, B, Tech, MCA, or related field.