Note: The job is a remote job and is open to candidates in USA. Veho is a company focused on revolutionizing ecommerce logistics by enhancing the delivery experience. As a Technical Lead Manager for the MLOps team, you will oversee the Data Science platform and drive the development of robust machine learning systems that support the company's rapid growth.
Responsibilities
- Lead and grow a team of four engineers spanning ML infrastructure, ML operations, and embedded data science project work
- Improve our internal ML platform: standardize and improve ML infrastructure, improve how DS services are created, deployed, and operated. Think service performance, permissioning, environment setup, and integration with upstream and downstream systems
- Set the roadmap for improving our Machine Learning and Operations Research infrastructure
- Embed engineers into major science initiatives (forecasting, network orchestration, pricing) so every project is technically sound and lessons learned find their way back into our platform
- Drive AI usage across DS. Collaborate with our Agentic Developer Experience team to ensure new tooling has a high impact on the Data Science team’s velocity. Set standards, introduce patterns, and drive adoption of how to leverage AI in data science workflows (EDA, model iteration, ML/OR methodologies)
- Be part of the on-call rotation for our data science production systems
Skills
- Bachelor's Degree plus at least 6 years of experience in Machine Learning Engineering, or Master's Degree plus at least 4 years in Machine Learning Engineering
- ML platform experience: training and serving infrastructure, feature stores, orchestration, monitoring, deployment pipelines
- Experience managing impactful, high velocity ML Platform / ML Ops teams in smaller scale companies
- Experience driving AI/agentic tooling adoption inside an organization
- Hands-on experience with open-source tooling for large-scale ML (e.g., Ray, Flink, Feast)
- Strong knowledge of Cloud-based data engineering and data science tools (AWS preferred) and Data Warehouses (Redshift, Databricks, Snowflake)
- Strong proficiency in Python
- Interest in building systems in a Supply Chain setting, enabling a physical supply chain to run like clockwork
Benefits
- Offers Equity
- Comprehensive medical coverage
- Dental coverage
- Vision coverage
- 401 (k)
- Unlimited PTO for exempt-level roles
Company Overview