[Remote] Technical Lead Manager, MLOps

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