Senior MLOps Engineer: Edge AI for Robotics

Grid Dynamics; Województwo pomorskie; On-site; PLN 240,000 - 360,000; Full time

Benefits offered by this job

Competitive salary

Flexible schedule

Medical insurance

Sports package

Professional development

Job summary

Grid Dynamics seeks a Senior MLOps Engineer to advance our Physical AI & Robotics platform. You will build and operate the ML platform powering inference across production robots, deploying models on GPUs with NVIDIA Triton, and owning end-to-end CI/CD and IaC for ML workloads.

You will design scalable training pipelines on AWS/GCP, manage datasets and model registries, and collaborate closely with ML researchers, robotics engineers, and data scientists to transition prototypes into

Qualifications

• Hands-on MLOps with end-to-end ML lifecycle
• Proficient in Python, Docker, Terraform and GitHub Actions
• Experience with GPU model serving using NVIDIA Triton

Responsibilities

• Build and operate an ML platform powering inference across production robots
• Deploy and optimize ML models on GPUs with Triton
• Own CI/CD and IaC for ML workloads
• Develop scalable training and fine-tuning pipelines on AWS/GCP
• Manage datasets, model registries, and experiment tracking with MLflow, DVC, Kubeflow Pipelines
• Control cloud costs across AWS and GCP

Skills

MLOps

Python

CI/CD

Cloud foundations

Collaboration

Tools

Docker

Terraform

GitHub Actions

NVIDIA Triton

MLflow

DVC

Kubeflow Pipelines

AWS

GCP

Job description

Grid Dynamics seeks a Senior MLOps Engineer to advance our Physical AI & Robotics platform. You will build and operate the ML platform powering inference across production robots, deploying models on GPUs with NVIDIA Triton, and owning end-to-end CI/CD and IaC for ML workloads.

You will design scalable training pipelines on AWS/GCP, manage datasets and model registries, and collaborate closely with ML researchers, robotics engineers, and data scientists to transition prototypes into