Define the roadmap for the internal ML platform and ML Ops, taking ownership of existing tools and selecting the right additions to meet business needs.
Lead a cross-functional team of ML Engineers and specialists to build robust CI/CD pipelines for machine learning.
Establish highly optimized automations for model development, ensuring consistency in feature stores, model versioning, and deployment strategies.
Optimize cloud infrastructure to handle massive datasets while maintaining a keen eye on compute costs and resource allocation.
Implement comprehensive monitoring for model drift, latency, and bias to ensure our models remain high-performing.
Act as the primary interface between Data Science teams, Emerging Technologies and Core Engineering to remove bottlenecks in production pipelines.

Requirements

5+ years in ML, Software Engineering or Data Science, with 2+ years in a leadership role.
Mastery of MLOps principles and distributed systems.
Experience with orchestration tools and ML frameworks.
High proficiency in AWS and Snowflake ecosystems.
Proven ability to mentor senior engineers and influence stakeholders at the C-suite level.

Benefits

Premium Healthcare Benefits: Three plan options, including an HSA-eligible plan, with Forterra covering 80% of the plan premium for you and your dependents.
Basic Life/AD&D, short and long-term disability insurance plans 100% covered by Forterra, plus the option to purchase additional life insurance for you and your dependents.
Extremely generous company holiday calendar including a winter break in December.
Competitive paid time off (PTO) offering 20 days accrued per year.
A minimum of 7 weeks fully paid parental leave for birth/adoption.
A $9k annual tuition reimbursement or professional development stipend.
Fully stocked beverage refrigerators with all the Celsius your little heart desires.
401(k) retirement savings plan, including traditional, Roth 401(k), and after-tax deferral with company match up to 4%.

Applicant Tracking System Keywords

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

Hard Skills & Tools

MLOpsCI/CD pipelinesmodel developmentfeature storesmodel versioningdeployment strategiescloud infrastructuremonitoringmodel driftlatency

Soft Skills

leadershipmentoringstakeholder influencecross-functional collaboration