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    Job · 19512037

    Capgemini logo

    MLOps Engineer

    Capgemini · Hyderabad · onsite · Posted 23d ago

    Undisclosed5–10 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired bya collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizations


    Your Profile

    • Strong programming skills in Python, with 5.5 to 14 years experience in ML frameworks; understanding of ML-specific testing and validation techniques
    • Expertise in containerization technologies (Docker) and orchestration platforms (Kubernetes), Knowledge of data versioning and model versioning techniques
    • Proficiency in cloud platform (AWS) and their ML-specific services with atleast 2-3 years of experience.
    • Strong understanding of DevOps practices and tools (GitLab, Artifactory, Gitflow etc.)
    • Experience with monitoring and observability tools (Prometheus, Grafana, ELK stack) and knowledge of distributed training techniques



    Your Role

    • Design, implement, and maintain end-to-end ML pipelines for model training, evaluation, and deployment
    • Collaborate with data scientists and software engineers to operationalize ML models, serving frameworks (TensorFlow Serving, TorchServe) and experience with MLOps tools
    • Develop and maintain CI/CD pipelines for ML workflows
    • Implement monitoring and logging solutions for ML models, experience with ML model serving frameworks (TensorFlow Serving, TorchServe)
    • Optimize ML infrastructure for performance, scalability, and cost-efficiency



    What youll love about working here

    • We recognise the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance
    • Our focus will be your career growth & professional development to support you in exploring the world of opportunities.
    • Equip yourself with valuable certifications & training programmes in the latest technologies such as MLOps, Machine Learning

    Sourced from naukri

    Skills

    observabilityPrometheusDevopsGrafanaDockerGitlabKubernetesoperaMLOpscloud platformamazon web servicesElkProgrammingTensorflowdata versioningcloudDesignMachine Learning

    About Capgemini

    Capgemini logo

    Capgemini

    IT Services & Consulting

    235k+

    employees

    1967

    59 years old

    Mumbai, Maharashtra

    India

    About

    Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value.

    Industries

    IT Services & ConsultingAnalytics & KPOBankingSoftware Product

    Employee ratings

    53,345 reviews

    3.6/ 5

    Culture

    3.6

    Career growth

    2.8

    Work-life

    3.8

    Employees rate it well for

    Work Life Balance7494Salary7201Work Culture5032Appraisal4419Senior Management3872

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    MLOps Engineer · waiting for your command