MLOps Engineer: GenAI, CI/CD & Cloud Deployments

Capgemini; Województwo pomorskie; Hybrid; PLN 180,000 - 270,000; Full time

Benefits offered by this job

Private medical care

NAIS benefits platform with Netflix/Sp

Hybrid working model

Community hubs

Job summary

Capgemini Polska is seeking an experienced MLOps Engineer to ensure efficient deployment, monitoring and maintenance of ML models across environments. You will automate deployment, implement CI/CD for ML, and optimize model delivery within a GenAI-ready framework.

You will join self-organizing, lean teams in agile engineering, contributing to AI and GenAI initiatives such as LLM-based solutions, RAG patterns, and agentic workflows in production contexts.

Qualifications

• Master’s, engineer’s or bachelor’s degree.
• At least 4 years of experience in CI/CD and/or cloud technologies.
• Experience with Git, CI/CD tools, Kubernetes, Docker, ML frameworks such as TensorFlow or similar, monitoring and logging tools, and Infrastructure as Code.
• Practical experience with MLflow, DVC or similar tools supporting model lifecycle management will be an advantage.
• Hands-on experience in AI / GenAI, including practical use of LLMs, RAG patterns and agentic workflows in production or near-production environments, will be an advantage.
• Knowledge of vector search, embeddings, model-serving patterns or AI observability will be an advantage.
• Good written and verbal communication skills, minimum B2 English.

Responsibilities

• Ensure that machine learning models are efficiently deployed, maintained and monitored across environments.
• Automate deployment and update processes for machine learning models.
• Implement CI/CD pipelines for ML models and ML workflows.
• Set up monitoring, logging and observability for ML models and model-serving platforms.
• Optimize ML models and model delivery processes for production or near-production environments.
• Support AI and GenAI initiatives, including LLM-based solutions, RAG patterns and agentic workflows where relevant.
• Help establish reliable MLOps practices for model versioning, reproducibility, governance and responsible AI delivery.

Skills

CI/CD

Cloud technologies

Git

Kubernetes

Docker

English (B2)

Education

Master’s, engineer’s or bachelor’s degree

Tools

Git

CI/CD tools

Kubernetes

Docker

MLflow

DVC

TensorFlow

Job description

Capgemini Polska is seeking an experienced MLOps Engineer to ensure efficient deployment, monitoring and maintenance of ML models across environments. You will automate deployment, implement CI/CD for ML, and optimize model delivery within a GenAI-ready framework.

You will join self-organizing, lean teams in agile engineering, contributing to AI and GenAI initiatives such as LLM-based solutions, RAG patterns, and agentic workflows in production contexts.