Senior Machine Learning Platform Engineer

Bachelor’s/Master’s in Computer Science, Engineering, or related field (or equivalent experience).

4+ years of industry experience in ML infrastructure or platform engineering.

Strong coding skills in Python/TypeScript and a strong foundation in software engineering best practices.

Proven experience with distributed systems , cloud platforms (AWS preferred), containerization and orchestration (Docker, Kubernetes/EKS, Ray) , and serverless.

Hands-on experience building ML pipelines for distributed training and large-scale inference.

Strong knowledge of data management at scale , including preprocessing and retrieval of video/image datasets.

Proficiency with CI/CD pipelines , infrastructure-as-code (Terraform, CloudFormation), and automation.

Familiarity with MLOps tools (MLflow, Kubeflow, Airflow).

Experience with system monitoring and observability in production.