Senior MLOps Engineer — Cloud, Edge & Robotics Platform

Grid Dynamics; Wrocław; On-site; PLN 240,000 - 460,000; Full time

Benefits offered by this job

Competitive salary

Flexible schedule

Medical insurance

Sports benefits

Corporate events

Job summary

Grid Dynamics, a leader in AI and advanced analytics, seeks a Senior MLOps Engineer to power our Physical AI and robotics platform in production. You will architect and maintain ML pipelines, deploy models on GPUs with Triton, and own IaC-driven release processes across cloud environments.

Collaborating with ML researchers and robotics experts, you’ll optimize data workflows, manage datasets and experiments, and enable scalable, cost-efficient inference for a fleet of robots.

Qualifications

• Proven MLOps experience from training to production deployment.
• Strong automation and cloud infrastructure skills with IaC.

Responsibilities

• Build and operate the ML platform powering inference across production robots.
• Deploy and optimize models on GPUs using NVIDIA Triton for low latency.
• Own end-to-end release lifecycle for ML workloads with Terraform & GitHub Actions.
• Develop scalable training and fine-tuning pipelines on AWS and GCP.
• Manage datasets, model registries, and experiments with MLflow, DVC & Kubeflow Pipelines.

Skills

Python

Docker

Terraform

GitHub Actions

NVIDIA Triton

MLflow

DVC

Kubeflow Pipelines

AWS/GCP

Tools

Kubeflow

MLflow

DVC

Job description

Grid Dynamics, a leader in AI and advanced analytics, seeks a Senior MLOps Engineer to power our Physical AI and robotics platform in production. You will architect and maintain ML pipelines, deploy models on GPUs with Triton, and own IaC-driven release processes across cloud environments.

Collaborating with ML researchers and robotics experts, you’ll optimize data workflows, manage datasets and experiments, and enable scalable, cost-efficient inference for a fleet of robots.