AI/ML Engineer - Senior Associate

What you'll do

• Architect and implement ML- and LLM-powered solutions, including scalable data pipelines and model inference services.
• Experiment with, develop, and productionize machine-learning models, services, and platforms; deploy solutions to public cloud infrastructure.
• Collaborate with AI/ML teams, business and product partners, and colleagues to align on and deliver AI capabilities.

What they ask for

• MS in Computer Science, Statistics, Mathematics, or Machine Learning; minimum 3 years of development experience, including at least 2 years working on AI solutions.
• Experience using LLMs to solve business problems, including tracing, evaluations, and guardrails.
• Strong Python programming skills and deep knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics.
• End-to-end solution design experience, knowledge of data management and SQL and NoSQL stores, and demonstrated leadership and communication skills.

Nice to have

• Financial-domain experience at a large institution in Asset and Wealth Management, Brokerage, or Investment Banking; LLM fine-tuning or small language model inference.
• Full-stack development with modern JavaScript and TypeScript frameworks; Go or Rust; expertise in a cloud platform such as AWS, Azure, or Kubernetes.

Pay

$137,750.00-$195,000.00 USD base salary

Tools

Python, OpenAI, Anthropic, Postgres, OpenSearch, Redis, AWS, Azure

AI focus

Build, evaluate, and productionize ML and LLM solutions for financial-services business problems, including LLM workflow tracing, evaluations, guardrails, and cloud deployment.