remote
Senior AI/ML Engineer - ServiceChannel
ML Engineer
Lead the design and deployment of scalable AI/ML solutions for a high‑volume service automation platform, leveraging Python, deep‑learning frameworks, and cloud infrastructure.
About the role
Key Responsibilities
- Architect, develop, and productionize machine‑learning models that predict service request patterns, optimize routing, and improve maintenance outcomes.
- Collaborate with data engineers and product teams to define data pipelines, feature stores, and real‑time inference services.
- Implement CI/CD workflows using Docker and Kubernetes to ensure reliable model deployment and scaling on AWS.
- Conduct experiments, perform model validation, and iterate based on performance metrics and business impact.
- Mentor junior engineers, review code, and promote best practices in reproducible ML development.
Requirements
- 5+ years of professional experience building and deploying production ML systems.
- Strong proficiency in Python and deep‑learning libraries such as TensorFlow or PyTorch.
- Hands‑on experience with cloud services (AWS), containerization (Docker), and orchestration (Kubernetes).
- Solid understanding of data modeling, SQL, and building scalable data pipelines.
- Excellent problem‑solving skills and ability to translate business needs into technical solutions.
Skills
pythontensorflowpytorchawsdockerkubernetessql