Participate in the design, development, and deployment of AI projects, advising audit teams on automation and innovation using technologies like GenAI and Machine Learning
Job Summary
Participate in the design, development, and deployment of AI projects, advising audit teams on automation and innovation using technologies like GenAI and Machine Learning.
Build a strong understanding of data's role in modern finance, partnering with tech leaders like OpenAI and Microsoft, and developing end-to-end GenAI applications.
Benefit from a comprehensive training program, continuous skill development, and support from an experienced team to become a qualified Data professional and achieve external accreditations.
Matching Summary
Participate in the design, development, and deployment of AI projects, advising audit teams on automation and innovation using technologies like GenAI and Machine Learning.
Skills & Requirements
Must-have
AI and Machine Learning development
GenAI and LLM integration
RAG system implementation
Data preprocessing and model evaluation
Docker and Kubernetes deployment
Python backend development
React frontend development
Nice-to-have
Agile project management
Stakeholder and resource management
Collaboration with DevOps teams
Team coaching and supervision
Proactive and autonomous work style
Adaptability to multiple teams
Key Requirements
3-5 years of experience as a versatile engineer
Experience in end-to-end innovation project leadership
Proficiency in backend development (Python, FastAPI)
Proficiency in frontend development (React, no code/low code)
Experience with LLM integration (OpenAI, Anthropic, Gemini, Mistral, HuggingFace)
Experience with RAG implementation
Experience with data storage and querying (ChromaDB, Supabase, SQL, Alteryx)
Experience with AI model deployment in containerized environments (Docker, Kubernetes)
Proficiency in data visualization (PowerBI, Seaborn)