MLOps Engineer (Machine Learning, MLFlow, Kubernetes, DVC)
đ TwĂłj zakres obowiÄ zkĂłw
Your responsibilities, 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.
Masterâs, engineerâs, or bachelorâs 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).
What we offer, 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.
Benefits, private medical care, sharing the costs of foreign language classes, sharing the costs of professional training & courses, life insurance, flexible working time, integration events, corporate sports team, no dress code, parking space for employees, extra social benefits, sharing the costs of tickets to the movies, theater, redeployment package, christmas gifts, employee referral program, charity initiatives, free chat/call with a therapist, Multisport card
Recruitment stages, Interview with the recruiter, Competency Tests/Language Verification, Video call with a manager, Final Decision
Capgemini Polska, Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.
This is how we work,
About the project
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youâd like, where youâll be supported and inspired byâŻa collaborative community of colleagues around the world, and where youâll be able to reimagine whatâs possible. Join us and help the worldâs leading organizationsâŻunlock 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 selfâorganizing, 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 WrocĹaw, PoznaĹ and GdaĹsk!
đ Opis gĹĂłwny / WstÄp
About the project
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youâd like, where youâll be supported and inspired byâŻa collaborative community of colleagues around the world, and where youâll be able to reimagine whatâs possible. Join us and help the worldâs leading organizationsâŻunlock 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 selfâorganizing, 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 WrocĹaw, PoznaĹ and GdaĹsk!
Your responsibilities
- 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.
Recruitment stages
- Interview with the recruiter
- Competency Tests/Language Verification
- Video call with a manager
- Final Decision
đ Co oferujemy (Dodatkowe detale)
Benefits, private medical care, sharing the costs of foreign language classes, sharing the costs of professional training & courses, life insurance, flexible working time, integration events, corporate sports team, no dress code, parking space for employees, extra social benefits, sharing the costs of tickets to the movies, theater, redeployment package, christmas gifts, employee referral program, charity initiatives, free chat/call with a therapist, Multisport card
Recruitment stages, Interview with the recruiter, Competency Tests/Language Verification, Video call with a manager, Final Decision
Capgemini Polska, Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.
This is how we work,
About the project
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youâd like, where youâll be supported and inspired byâŻa collaborative community of colleagues around the world, and where youâll be able to reimagine whatâs possible. Join us and help the worldâs leading organizationsâŻunlock 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 selfâorganizing, 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 WrocĹaw, PoznaĹ and GdaĹsk!