{"id":1306139,"url":"https://alion.io/job/one-moment-please-ml-llmops-engineer-300426-66","title":"ML &LLMOps Engineer - 300426-66","company":{"id":2321835,"name":"Sage IT","domain":"sageitinc.com","url":"https://alion.io/company/sageitinc","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":{"grade":"A","score":95,"open_postings":11,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":145,"computed_at":"2026-10-21T05:46:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, 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environments\n\nMLOps / LLMOps\nExperience building and operating ML/LLM pipelines\nKnowledge of:\nCI/CD for AI workloads\nModel & prompt versioning\nMonitoring, drift detection, retraining\n\nCI/CD & Platform Engineering\nExperience designing CI/CD pipelines\nAutomation of build → deploy → monitor workflows\n\nContainers & Orchestration\nHands-on with Docker and Kubernetes\nManaging scalable, distributed workloads\n\nAI Platform Operations\nExperience supporting:\nLLM-based applications (RAG, APIs, pipelines)\nVector databases and inference systems\nManaging compute, scaling, and performance\n\nAI-Native Engineering (Critical)\nActively uses AI tools (LLMs, copilots, agents) in daily engineering work\nExperience working with local/open-source LLMs\nApplies AI to improve automation, debugging, and operational efficiency\n\nCore Responsibilities\nProvision and manage cloud infrastructure for AI applications\nBuild and maintain MLOps / LLMOps pipelines\nDeploy and operate AI-powered 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