Job responsibilities
- Serve as a subject matter expert on a wide range of Gen AI techniques and optimizations.
- Provide in-depth knowledge of AI models.
- Provide leadership and mentorship for junior team members
- Enhance ML workflows through advanced proficiency in large language models (LLMs) and related techniques.
- Conduct experiments using latest Generative AI technologies, analyzing results.
- Provide Hands on coding to bring the experimental results into production solutions by collaborating with engineering team. Owning end to end code development in python for both proof of concept/experimentation and production-ready solutions.
- Optimize system accuracy and performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with product and engineering teams to deliver tailored, science and technology-driven solutions.
- Integrate Generative AI within the ML Platform using state-of-the-art techniques.
Required qualifications, capabilities, and skills
- 5 years + python development experience in a machine learning role
- Experience of Generative AI builds, Agents and MCP.
- Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs)
- Hands-on experience with machine learning and deep learning methods.
- Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow; embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search).
- Ability to work on tasks and projects through to completion with limited supervision.
- Passion for detail and follow through. Excellent communication skills and team player
Preferred qualifications, capabilities, and skills
- Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
- Experience of all LLM models and their capabilities
- Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.