Overview
The AI Engineer will play a key role in a growing AI practice within a tech consultancy, primarily focusing on applied AI projects for a financial services client. Collaborating closely with both internal teams and the client, the engineer will leverage various technologies and frameworks to implement enterprise-scale AI systems. This position is mainly remote, with occasional travel to London for client meetings expected.
Responsibilities
- Develop enterprise-scale AI systems utilizing technologies such as RAG, LLM, and MLOps.
- Collaborate with clients to understand their AI transformation needs and provide expert consulting.
- Implement and maintain ML workflows using tools like MLFlow and Vertex AI.
- Utilize NLP frameworks including HuggingFace and LangChain to enhance AI capabilities.
- Participate in occasional on-site meetings in London as needed.
- Contribute to the continuous evolution of the AI projects based on evolving client requirements.
Requirements
- Proven experience as an AI Engineer or Machine Learning Engineer with a strong academic foundation.
- Hands-on experience with applied AI technologies, particularly in financial services.
- Familiarity with MLOps tools such as MLFlow and Vertex AI.
- Experience with NLP frameworks, specifically HuggingFace and LangChain.
- Strong understanding of AI principles, algorithms, and programming languages, especially Python.
- Ability to work independently and as part of a team in a client-facing role.