{"id":1805838,"url":"https://alion.io/job/capgemini-llmops-engineer","title":"LLMops 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":1757,"ghost_share":0,"stale_share":0.784,"repost_share":0.003,"time_to_fill_p50_days":28,"computed_at":"2026-10-20T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"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":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"TensorFlow","optional":false},{"name":"TorchServe","optional":false}],"status":"live","first_seen_at":"2026-08-04T12:33:41Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-20T05:13:41Z","board_verified":true,"closed_at":null,"days_open":76,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":76},"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.\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\nGenAI scalability & integration\nOps support for Large Language models including incidents management, and user support\nGenAI solutions monitoring and maintenance, including performance monitoring, user interaction monitoring and efficacy monitoring\nGuardrails review and monitoring include bias audits, and other identified guardrail checks based on implemented GenAI solutions\nCode management support including proactive code optimization beyond break fixes \nImplementation of Cost and Performance Optimizations for Gen AI applications based on the LLMOps monitoring data \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 LLMOps, 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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