{"id":1798804,"url":"https://alion.io/job/capgemini-mlops-engineer","title":"MLOPs Engineer","company":{"id":145,"name":"Capgemini","domain":"capgemini.com","url":"https://alion.io/company/capgemini","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":80,"open_postings":1775,"ghost_share":0.001,"stale_share":0.786,"repost_share":0.006,"time_to_fill_p50_days":28,"computed_at":"2026-10-22T06:10:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":38},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Gitflow","optional":false},{"name":"GitLab","optional":false},{"name":"Grafana","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"TensorFlow","optional":false},{"name":"TorchServe","optional":false},{"name":"Git","optional":true}],"status":"live","first_seen_at":"2026-08-05T08:33:29Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-22T20:05:44Z","board_verified":true,"closed_at":null,"days_open":78,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":78},"description":"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.\nReady to make your next career move?\nExplore the full job description below to learn more about the MLOPs Engineer role, its key responsibilities, and what it's like to be part of our team. If you're excited by what you see, we'd love to hear from you. Apply today and take the next step in your career journey.\nNot quite the right opportunity? Join our Talent Community to stay connected and receive updates on exciting opportunities tailored to your experience, skills, and aspirations.\nYour Role\nDesign, implement, and maintain end-to-end ML pipelines for model training, evaluation, and deployment\nCollaborate with data scientists and software engineers to operationalize ML models, serving frameworks (TensorFlow Serving, TorchServe) and experience with MLOps tools\nDevelop and maintain CI/CD pipelines for ML workflows\nImplement monitoring and logging solutions for ML models, experience with ML model serving frameworks (TensorFlow Serving, TorchServe)\nOptimize ML infrastructure for performance, scalability, and cost-efficiency\nYour Profile\nStrong programming skills in Python, with 5.5 to 14 years experience in ML frameworks; understanding of ML-specific testing and validation techniques\nExpertise in containerization technologies (Docker) and orchestration platforms (Kubernetes), Knowledge of data versioning and model versioning techniques\nProficiency in cloud platform (AWS) and their ML-specific services with atleast 2-3 years of experience.\nStrong understanding of DevOps practices and tools (GitLab, Artifactory, Gitflow etc.)\nExperience with monitoring and observability tools (Prometheus, Grafana, ELK stack) and knowledge of distributed training techniques\nWhat you’ll love about working here\nWe recognise the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance\nOur focus will be your career growth & professional development to support you in exploring the world of opportunities.\nEquip yourself with valuable certifications & training programmes in the latest technologies such as MLOps, Machine Learning\nCapgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. 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