Senior MLOps Engineer - Edge AI & Robotics Platform

Grid Dynamics; Kraków; On-site; PLN 250,000 - 400,000; Full time

Benefits offered by this job

Bleeding-edge projects

Motivated team

Competitive salary

Flexible schedule

Medical insurance

Sports

Corporate events

Professional development

Well-equipped office

Job summary

Grid Dynamics seeks a Senior MLOps Engineer for its Physical AI & Robotics Platform in Kraków. You will build and operate the ML platform powering robot inference, ensuring reliable deployment across cloud and edge environments.

You will collaborate with ML researchers, robotics engineers, CV specialists and data scientists to bridge training and production, optimize costs, and scale pipelines from experiment to production.

Qualifications

• Hands-on MLOps experience from training to production deployment.
• Proficiency in Python and working knowledge of Docker, Terraform and GitHub Actions.
• Experience serving ML models on GPUs using NVIDIA Triton.
• Familiarity with ML lifecycle tooling: MLflow, DVC, Kubeflow Pipelines.
• Cloud experience with AWS and/or GCP, including GPU autoscaling.

Responsibilities

• Build and maintain the ML platform powering inference across production robots.
• Deploy and optimize ML models on GPUs using NVIDIA Triton.
• Own end-to-end release lifecycle for ML workloads with IaC and CI/CD.
• Develop training and fine-tuning pipelines on AWS/GCP.
• Manage datasets, model registries, and experiment tracking (MLflow, DVC, Kubeflow).
• Control cloud costs with spot/preemptible instances and autoscaling.
• Create developer tools and libraries to simplify model deployment.
• Collaborate with ML researchers, CV experts, and robotics engineers to move from prototype to production.

Skills

MLOps

Python

Docker

Terraform

GitHub Actions

NVIDIA Triton

MLflow

DVC

Kubeflow Pipelines

AWS/GCP

Tools

Terraform

GitHub Actions

Docker

NVIDIA Triton

AWS

GCP

Job description

Grid Dynamics seeks a Senior MLOps Engineer for its Physical AI & Robotics Platform in Kraków. You will build and operate the ML platform powering robot inference, ensuring reliable deployment across cloud and edge environments.

You will collaborate with ML researchers, robotics engineers, CV specialists and data scientists to bridge training and production, optimize costs, and scale pipelines from experiment to production.