{"id":1955522,"url":"https://alion.io/job/green-clover-mlops-engineer","title":"MLOps Engineer","company":{"id":3905024,"name":"Green Clover","domain":"green-clover.in","url":"https://alion.io/company/green-clover","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Thane, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":26},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AgentOps","optional":false},{"name":"AI 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AI applications and agents : tracing, monitoring, alerting, token-consumption analysis, latency tracking, and incident diagnostics.\n\n- Implement evaluation pipelines and acceptance gates for quality, groundedness, task adherence, safety, and agent-specific behaviour.\n\n- Drive prompt lifecycle management, RAG optimisation, and semantic retrieval tuning, and integrate vector- or search-based knowledge components where needed.\n\n- Partner with security, engineering, and data teams to build identity, secrets management, compliance controls, and cost optimisation into the operating model.\n\n- Contribute to platform automation, runbooks, and on-call readiness, and lead post-incident reviews that improve production AI services.\n\nQualifications : \n\n- DevOps and platform engineering : Experience operating production cloud workloads with CI/CD, monitoring, and infrastructure automation.\n\n- MLOps / LLMOps / AgentOps : Hands-on practice in deployment, monitoring, retraining or re-evaluation, and controlled release management for AI systems.\n\n- Observability : Strong grasp of logs, metrics, traces, runtime telemetry, and production diagnostics for AI workloads.\n\n- Generative AI engineering : Familiarity with retrieval-augmented systems, prompt engineering, tool-calling flows, and agent behaviour debugging.\n\n- Operational excellence : A reliability-first mindset with strong attention to security, incident response, and cost-performance trade-offs.\nSkills\nMLOps, DevOps, Azure, Generative AI, CI/CD Pipeline, LLMOps, Prompt Engineering, AI Infrastructure, Machine Learning, RAG, Agentic 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