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Machine Learning Ops Engineer

Machine Learning Ops Engineer

CapgeminiWarsaw, Poland
2 days ago
Job description

Machine Learning Ops EngineerChoosing Capgemini means choosing apany where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborativemunity 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 TEAM :

Application Development & Maintenance (ADM Center) providesprehensive 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.

Theplexity and diversity of solutions allows to build close relationships with our clients on various levels, while also to give employees the opportunity to develop in a wide range of career paths. Our development teams are highly self-organizing and independent, capable in agile and lean software engineering practices.

YOUR TASKS :

  • 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.

YOUR PROFILE :

  • 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 ( TensorFlow), mOnitoring and Logging Tools, IaC;
  • good written and verbalmunication skills (min. B2 English).
  • WHAT YOU'LL LOVE ABOUT WORKING HERE :

  • Practical benefits : permanent employment contract from the first day; hybrid, flexible working model; equipment package for home office; private medical care with Medicover; life insurance; Capgemini Helpline; NAIS benefit platform;
  • Access to 70+ training tracks with certification opportunities ; platform with free access to Pluralsight, TED Talks, Coursera, Udemy Business and SAP Learning HUB

    that will allow you to choose from over 20 professionalmunities that gather people interested in, among others : Salesforce, Java, Cloud, IoT, Agile, AI.

    GET TO KNOW US

    Capgemini ismitted to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.

    Do you want to get to know us better? Check our Instagram - @capgeminipl or visit our Facebook profile - Capgemini Polska . You can also find us on TikTok! - @capgeminipl .

    Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data,bined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of € billion. Job ID MfMsyow4t4Z8

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