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Technical Lead Manager, MLOps - Veho Tech, Inc
Engineering Manager
Lead and mentor a team of MLOps engineers to design, build, and operate scalable ML pipelines on cloud infrastructure, leveraging Python, Kubernetes, Docker, and AWS while driving CI/CD best practices.
About the role
Key Responsibilities
- Architect, develop, and maintain end‑to‑end machine learning pipelines and model serving infrastructure on AWS.
- Lead a cross‑functional team of MLOps engineers, providing technical guidance, mentorship, and performance feedback.
- Design and implement containerized solutions using Docker and orchestrate workloads with Kubernetes for high availability and scalability.
- Establish CI/CD workflows for model training, validation, and deployment, ensuring reproducibility and rapid iteration.
- Collaborate with data scientists, product managers, and platform engineers to translate business requirements into reliable production systems.
Requirements
- 5+ years of hands‑on experience building MLOps platforms, with strong proficiency in Python.
- Deep knowledge of containerization (Docker) and orchestration (Kubernetes) in cloud environments, preferably AWS.
- Proven track record implementing CI/CD pipelines for ML models using tools such as Jenkins, GitLab CI, or GitHub Actions.
- Experience with monitoring, logging, and performance optimization of ML services in production.
- Strong leadership and communication skills, with the ability to mentor engineers and influence cross‑team collaboration.
Skills
pythonkubernetesdockerawscicdmachine learning