Senior MLOps & AgentOps Engineer - Azure & Microsoft Foundry in Thana, भारत

Position / Designation : Sr. MLOps & AgentOps EngineerQualification : Bachelor's degree in Computer Science, Information Technology, Engineering, or a related https://jobeax.com/link/qf0HJqPEcRcsaCTk of Experience : Minimum 5 - 7+ years in DevOps, platform engineering, MLOps, or a closely related role. Experience running production AI, ML, or agentic workloads is strongly preferred. Exposure to high-availability, regulated, or enterprise-scale environments is an https://jobeax.com/link/O45btC13Zc6yFbxh / Contract : FulltimeHybrid / Remote : Hybrid weekly 3 days from officeJob Role & Responsibility :- Design and implement CI/CD pipelines for models, prompts, agents, and supporting infrastructure across development, test, and production environments.- Build and maintain deployment automation for AI workloads, including versioning and rollback mechanisms, environment promotion workflows, and runtime safeguards.- Set up and operate observability for AI applications and agents : tracing, monitoring, alerting, token-consumption analysis, latency tracking, and incident diagnostics.- Implement evaluation pipelines and acceptance gates for quality, groundedness, task adherence, safety, and agent-specific behaviour.- Drive prompt lifecycle management, RAG optimisation, and semantic retrieval tuning, and integrate vector- or search-based knowledge components where needed.- Partner with security, engineering, and data teams to build identity, secrets management, compliance controls, and cost optimisation into the operating model.- Contribute to platform automation, runbooks, and on-call readiness, and lead post-incident reviews that improve production AI https://jobeax.com/link/6os5iRIpOn0jRy9A :Technical Skills :- Cloud & IaC : Azure, Terraform or Bicep, infrastructure-as-code patterns.- CI/CD & containers : GitHub Actions or Azure DevOps Pipelines, Docker, Kubernetes (AKS).- AI platform : Microsoft Foundry (deployments, evaluations, tracing), Azure AI Search, vector stores.- Observability : Azure Monitor, Application Insights, Log Analytics, OpenTelemetry.- Programming : Python for automation, tooling, evaluation orchestration, and operational support.2. Desired Attributes :- Strong analytical and problem-solving abilities with meticulous attention to detail.- Effective communicator able to interface with engineering, data, security, and operations stakeholders.- Self-motivated professional comfortable delivering in a hybrid model, balancing on-site client engagement with remote work.- Collaborative team player committed to continuous improvement.3. Certifications :- Microsoft Certified : DevOps Engineer Expert (AZ-400) or Azure Administrator Associate (AZ-104) preferred.- Microsoft Certified : Azure AI Engineer Associate (AI-102) or successor, or Fabric Data Engineer Associate (DP-700), a plus.4. Qualifications :- DevOps and platform engineering : Experience operating production cloud workloads with CI/CD, monitoring, and infrastructure automation.- MLOps / LLMOps / AgentOps : Hands-on practice in deployment, monitoring, retraining or re-evaluation, and controlled release management for AI systems.- Observability : Strong grasp of logs, metrics, traces, runtime telemetry, and production diagnostics for AI workloads.- Generative AI engineering : Familiarity with retrieval-augmented systems, prompt engineering, tool-calling flows, and agent behaviour debugging.- Operational excellence : A reliability-first mindset with strong attention to security, incident response, and cost-performance https://jobeax.com/link/LrcnR5OscHlaigJi Date : Immediate (ref:hirist.tech)