Machine Learning Engineer

Key Responsibilities

• Model Implementation: Take ownership of Large Language Models (LLM) and Small Language Models (SLM).
• Python Development: Build and maintain high-performance solutions using a custom Python stack.
• System Engineering: Execute complex tool chaining and develop sophisticated system prompts to optimize AI output.
• Performance Excellence: Contribute to a project that offers potential for long-term client absorption based on individual performance after the initial six-month period.

Required Skills & Expertise

• AI/ML: Direct experience with LLMs and SLMs.
• Programming: Advanced proficiency in custom stack Python development.
• Orchestration: Hands-on experience with tool chaining and system prompt engineering.
• Domain: Interest or experience in financial technology and capital markets