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

Nasze wymagania: Master’s, engineer’s, or bachelor’s degree; At least 4 years of experience in working with CI / CD and / or cloud technologies; GIT, CI/CD Tools, Kubernetes, Docker, Machine Learning Frameworks (e.g. TensorFlow), mOnitoring and Logging Tools, IaC; Good written and verbal communication skills (min. B2 English). O projekcie: Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role As an MLOps Engineer, you will ensure that machine learning models are efficiently deployed, monitored, and maintained across environments. Your responsibilities will include automating model deployment and updates, implementing CI/CD pipelines for ML workflows, optimizing ML models, and setting up monitoring and logging to support reliable production operations. Working with diverse and technically advanced solutions will allow you to build strong relationships with clients and continuously grow your expertise. You will be part of highly self‑organizing, independent teams that operate in agile and lean engineering environments, fostering continuous improvement and innovation. Your Project Application Development & Maintenance (ADM Center) provides comprehensive end-to-end IT services from business specification, through software development, implementation, to application maintenance using leading it technologies and management methods. We enthusiastically institute solutions in the fields of DevOps, SRE, low-code, broadly understood Automation and AI. We are hiring in Wrocław, Poznań and Gdańsk! Zakres obowiązków: Ensuring that machine learning models are efficiently deployed and maintained in the environments; Automating deployment of machine learning models to environments, updates; Implementing CI/CD pipelines for ML Models; Setting up monitoring and logging for ML Models; Optimizing ML Models. Oferujemy: Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Sports card. Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings. Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. Community Hub that will allow you to choose from over 20 professional communities that gather people interested in, among others: Salesforce, Java, Could, IoT, Agile, AI.