Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams
Provide guidance on the evaluation and adoption of generative AI techniques and tools, including LangChain, LangGraph, LLMs, RAG, MCP, embeddings, vector stores, and model orchestration frameworks.
Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems
Lead large-scale ML initiatives with the customer in mind
Drive the adoption of proven generative AI patterns across teams by influencing platform design, standards, and technical direction.
Leverage cloud-based architectures and technologies to deliver optimized ML models at scale
Optimize data pipelines to feed ML models
Use programming languages like Python, Scala, C/C++
Leverage compute technologies such as Dask and RAPIDS
Evangelize best practices in all aspects of the engineering and modeling lifecycles
Help recruit, nurture, and retain top engineering talent

Requirements

Bachelor's degree
At least 10 years of experience designing and building data-intensive solutions using distributed computing
At least 6 years of experience programming in C, C++, Python, or Scala
At least 3 years of experience with the full ML development lifecycle using modern technology in a business critical setting
Master's Degree (Preferred)
3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models (Preferred)
2+ years of experience using Dask, RAPIDS, or in High Performance Computing (Preferred)
2+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn) (Preferred)
Experience with areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM fine-tuning, LLM Evaluation (Preferred)
Ability to communicate complex technical concepts clearly to a variety of audiences (Preferred)
ML industry impact through conference presentations, papers, blog posts, or open source contributions (Preferred)
Ability to attract and develop high-performing software engineers with an inspiring leadership style (Preferred)

Benefits

Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningdata pipelinesprogramming in Pythonprogramming in Scalaprogramming in Cprogramming in C++generative AI techniquesML development lifecycledistributed computinghigh performance computing

Soft Skills

communication of technical conceptsleadershipinfluencing platform designcollaborationrecruitment and talent developmentevangelizing best practicesguidance and mentorshipcustomer-focused approachnurturing engineering talentorganizational influence

Certifications

Bachelor's degreeMaster's degree