Data Science Platform Developer
Core
Building and modernizing enterprise data science platforms, tools, and environments to enable scalable, automated, and user-friendly machine learning capabilities for data scientists.
Role type
Senior IC Data Science Platform Developer (ML Infrastructure)
Builds
Cloud-based tooling, distributed computing environments, and automated ML workflows for data science teams.
Domain
Financial services / Machine Learning Infrastructure / Distributed Systems
Deliverable
production ML models | infrastructure
Required skills
Advanced Python/R programming, Distributed computing frameworks (Spark, Ray, Slurm), GenAI/LLM infrastructure (RAG, vector databases, agentic workflows), Front-end ML app design (Shiny, Dash, Streamlit), Workflow orchestration (MLflow, Prefect, Targets), C/C++/Scala/Java
Preferred skills
Nix, Model Context Protocol (MCP), Ontology design
Technologies
Python, R, Spark, Ray, Slurm, MLflow, Targets, Prefect, Shiny, Dash, Streamlit, C++, Scala, Java, Vector databases
Responsibilities
Set requirements for Global Technology to support tools on distributed computing systems; Provide oversight and hands-on support for analytic solution development; Lead new environment setup and project ownership from design to training; Own data science requirements tracking and strategy adoption; Contribute to research and innovation initiatives; Participate in talent interviewing, mentoring, and training.
Seniority
Senior, hands-on IC with mentorship
