Hiring - Remote role, US-based.
Python Engineer (ML/Infrastructure)
We're building the platform layer behind Cloud AI Platform: the tooling, services, and developer experience that AI-driven systems run on. We need a Python engineer who's comfortable on both sides - ML and infrastructure.
What you'll be doing:
- 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
What we're looking for:
- Solid Python skills. Go or Scala is a plus
- 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:
- 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
You'll be the bridge between product, platform, and customer teams - defining best practices, documenting patterns, and driving alignment across groups. You'll work in a fast-evolving environment where engineering fundamentals, applied ML awareness, and customer empathy all matter.
Fully remote in the US. If this sounds like your kind of work, DM me.
You can also message me via email tatyana.volkova@ngrs.com
