Jobs → Engineering → ML Platform Engineer

About the Role We are looking for an ML Platform Engineer to join our team. This role involves building and maintaining automated ML training and deployment pipelines. Key Responsibilities • Build and maintain automated ML training and deployment pipelines • Design and implement RESTful APIs • Lead code reviews and mentor junior developers • Collaborate with product team on technical requirements Requirements • 2–5 years of experience in MLOps, Cloud Engineering, DevOps, or Software Engineering • Strong hands-on experience with Python, Kubernetes, Docker, Git, and CI/CD • Experience building and maintaining automated ML training and deployment pipelines • Cloud deployment experience, preferably with Google Cloud Platform (GCP) • Exposure to Vertex AI, BigQuery, or Dataproc • Understanding of ML model deployment, monitoring, troubleshooting, and optimization Nice to Have • Terraform • Datadog, Prometheus, or Grafana • Production Machine Learning Pipelines