Senior Python Engineer – ML Infra & Cloud Platform

Grid Dynamics

United States

On-site

USD 150,000 - 190,000

Full time

10 days ago

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Benefits offered by this job

Competitive salary

Flexible schedule

Medical insurance

Vision & dental

Job summary

Grid Dynamics is seeking a skilled MLOps/DevOps engineer to design and deploy ML infrastructure on Cloud AI Platform. You will partner with product teams to understand use cases, build production-ready services, and translate requirements into scalable platform capabilities.

Responsibilities include building pipelines, improving APIs, and mentoring teams. Proficiency with Docker, Kubernetes, IaC (Terraform, CloudFormation), CI/CD (Jenkins, GitHub Actions), Airflow/Dagster, Kafka/Kinesis is

Qualifications

Experience designing ML infrastructure and deployment pipelines.

Responsibilities

Partner with internal product teams to understand AI/ML use cases and translate requirements into technical solutions.
Build production-ready services, integrations, workflows, and developer tooling on top of Cloud AI Platform.
Prototype solutions rapidly, validate approaches with customers, and harden successful prototypes for production.
Identify recurring customer needs and translate them into reusable platform capabilities and tooling.
Collaborate with platform teams to improve APIs, SDKs, workflows, documentation, and developer experience.