Machine Learning Ops Engineer

Machine Learning Ops Engineer Miejsce pracy: Gdańsk Technologies we use Expected Git CI/CD Tools Kubernetes Docker TensorFlow About the 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. The complexity 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 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. Our requirements 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). What we offer 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 Community Hub that will allow you to choose from over 20 professional communities that gather people interested in, among others: Salesforce, Java, Cloud, 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 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, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion. Twoje dane osobowe są u nas bezpieczne. Ochrona danych osobowych jest jedynym z naszych najważniejszych priorytetów. Przetwarzamy je w sposób odpowiedzialny, ograniczamy gromadzenie i dostęp do nich, w szczególności w odniesieniu do osób, które uczestniczyły w obecnych lub będą uczestniczyć w przyszłych procesach rekrutacji. Przygotowaliśmy dla Ciebie informację o celach i zasadach przetwarzania przez Capgemini Polska Sp z o. o. danych osobowych oraz przysługujących Ci prawach. Komplet informacji znajdziesz pod niniejszym adresem strony internetowej: https://www.capgemini.com/pl-pl/polityka-prywatnosci-hr/