Lead the design, construction and maintenance of optimized, efficient and reliable decision science pipelines, processes, and tools around AI/ML
Provide technical leadership through architectural direction, design reviews, and thoughtful decision-making
Mentor colleagues on building configurable, modular, and scalable solutions
Present designs and benefits of created tools to support adoption and advancement of reusable AI/ML components
Collaborate closely with product managers, data scientists, client teams, vendors, and other partners to define and generate systems requirements and architectural documents
Proactively troubleshoot and resolve complex CI/CD or integration issues
Establish and enforce engineering best practices and operational standards
Requirements
7+ years of demonstrated ability to drive complex technical projects from ideation through delivery, balancing technical excellence with business needs
Ability to provide peer leadership to junior colleagues, and clearly explain, document, and present coding designs to audiences that will use / implement the solution
Must exhibit proficiency in Python
Experience and familiarity with AI/ML (e.g., LLMs, Knowledge Graphs, GenAI)
Knowledge of multiple database and distributed computing architectures/technologies (e.g., Ray, SPARK, Dask)
Proficiency with modern development tooling, including Git, CI/CD pipelines (e.g., GitLab), containerization (e.g., Docker), and cloud platforms such as AWS
Strong understanding of software development methodologies and tools including Agile, Git, CICD, MLOps/DevOps, Docker, SSH, Linux
Experience developing applications using Streamlit or RShiny frameworks
Benefits
A bonus and/or long-term incentive units may be provided as part of the compensation package
Full range of medical, financial, and/or other benefits, dependent on the level and position offered
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.