Capgemini

MLOps Engineer (Machine Learning, MLFlow, Kubernetes, DVC)

Brak informacji o wynagrodzeniu

MidHybryda·WrocławFull-time

#459120·Dodano 20 dni temu·1

Źródło: nofluffjobs.com

Aplikuj teraz

Tech Stack / Keywords

DegreeCI/CDCloudGit Kubernetes Docker ML TensorFlowInfrastructure as CodeMLflowDVCAILLMsRAGCommunication skills

Firma i stanowisko

Capgemini is an AI-powered global business and technology transformation partner with nearly 60 years of heritage, employing 420,000 team members globally. The Cloud & Custom Applications (C&CA) team provides end-to-end IT services covering business specification, software development, implementation, and maintenance, focusing on DevOps, SRE, automation, and AI to improve delivery efficiency, quality, and reliability.

Wymagania

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.

Nice to have:

Practical experience with MLflow, DVC or similar tools supporting model lifecycle management.
Hands-on experience in AI / GenAI, including practical use of LLMs, RAG patterns and agentic workflows.
Knowledge of vector search, embeddings, model-serving patterns or AI observability.
Good written and verbal communication skills, minimum B2 English.

Obowiązki

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.

Benefity

Private medical care with Medicover including additional packages (dental, senior care, oncology).
Life insurance.
Access to 40+ options on NAIS benefit platform (e.g., Netflix, Spotify, Sports card).
Over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google).
Free access to Education First languages platform, TED Talks, and Udemy Business materials.
Hybrid working model with home office package (laptop, monitor, chair) and modern office access.
Community Hub with over 20 professional communities (Salesforce, Java, Cloud, IoT, Agile, AI).

Karta sportowa

Opieka zdrowotna

Ubezpieczenie

Dofinansowanie szkoleń

Elastyczne godziny

Napoje w biurze

Parking dla aut

Parking dla rowerów

Telefon

Szkolenia wewnętrzne

Capgemini

789 aktywnych ofert

Zobacz wszystkie oferty

Aplikuj teraz