Python Engineer (ML/Infrastructure)

Описание

We are building the platform layer behind Cloud AI Platform, providing tooling, services, and developer experience for AI-driven systems. We need a Python engineer comfortable with both ML and infrastructure.

Responsibilities

• Partnering with internal product teams, understanding their AI/ML use cases, and turning requirements into technical solutions
• Prototyping fast, validating with customers, then hardening what works for production
• Building services, integrations, workflows, and developer tooling on top of Cloud AI Platform
• Spotting recurring customer needs and turning them into reusable platform capabilities
• Working with platform teams to improve APIs, SDKs, docs, and the developer experience

Requirements

• Solid Python skills
• Experience designing, building, and maintaining ML infrastructure and deployment pipelines
• Docker and Kubernetes
• Cloud platforms: AWS, Azure, or GCP
• IaC and CI/CD: Terraform, CloudFormation, Jenkins, GitLab CI, GitHub Actions
• Orchestration and streaming: Airflow, Prefect, Dagster, Kafka, Kinesis
• Monitoring and observability: Prometheus, Grafana, ELK stack, for both model performance and system health
• Strong software engineering fundamentals and DevOps practices
• Git and collaborative development workflows
• 3+ years in MLOps, DevOps, or related infrastructure roles
• BS or MS in Computer Science, Software Engineering, Machine Learning, or an equivalent degree with applicable experience

Nice to have

• Go or Scala
• ML frameworks: TensorFlow, PyTorch, MLflow, Kubeflow
• Security best practices for ML systems and data governance
• Model versioning, experiment tracking, feature stores: MLflow, Weights & Biases, Feast
• Automated testing for ML systems, including data validation and model testing

We offer

• Fully remote in the US