Hiring: DevOps / MLOps Engineer (AI Factory)

๐Ÿš€ Hiring: DevOps / MLOps Engineer (AI Factory)

๐Ÿ“ Remote | 3 Positions
๐Ÿ•’ Full-Time | IST Shift
๐ŸŒ Cloud + MLOps + Agentic AI

Weโ€™re looking for highly skilled DevOps/MLOps Engineers to enable scalable, secure, and automated AI/ML solution delivery within our AI Factory. This role bridges development and operations across SAP, cloud-native platforms, LLM/agentic systems, and enterprise AI environments.


๐Ÿ”ง Key Responsibilities

CI/CD & Automation

  • Build, improve, and maintain CI/CD pipelines using Jenkins, GitHub Actions, Piper, MLFlow
  • Automate software, model training, packaging, testing, and deployment workflows

Cloud & Infrastructure

  • Deploy and manage solutions across Azure (preferred), AWS, GCP, SAP BTP
  • Work with Docker, Kubernetes, and IaC tools
  • Optimize infrastructure for scalability, reliability, and cost-efficiency

Agentic AI & MLOps

  • Support LLM and agent workflows ( LangChain, CrewAI, AutoGen, Haystack )
  • Implement AgentOps for lifecycle tracking, evaluation, and observability
  • Monitor model drift, data drift, concept drift, and system performance

Collaboration

  • Work with AI Engineers, Data Scientists, and Product Owners
  • Integrate DevOps practices throughout the AI lifecycle
  • Ensure smooth delivery of AI features and production-ready ML pipelines

Continuous Improvement

  • Drive automation, standardization, and best practices
  • Improve pipeline reliability, monitoring, observability, and security
  • Foster DevOps/MLOps culture across teams

๐Ÿ›  Skills & Experience

Required

  • Bachelorโ€™s / Masterโ€™s in CS, Data Science, or related field
  • Strong scripting: Python, Bash, Shell
  • Expertise with CI/CD tools: Jenkins, GitHub Actions, MLFlow
  • Cloud experience: Azure (preferred), AWS/GCP optional, SAP BTP familiarity
  • Strong with Docker, Kubernetes, Infrastructure-as-Code (Terraform, Ansible)
  • Experience with LLM orchestration & agentic frameworks:
    • LangChain, CrewAI, AutoGen, Haystack
  • Deep understanding of MLOps best practices
    • drift detection, observability, lineage, monitoring
  • Strong commitment to security, governance, and compliance

๐Ÿ“ฉ Apply / Refer

๐Ÿ“ง riyaz.ltpl@gmail.com
๐Ÿ“ฑ WhatsApp: +91 9595175635
๐Ÿ’ฌ Join WhatsApp Group: https://chat.whatsapp.com/HllHQes4d2QLFyukXjsIZv
๐ŸŒ WorkNestProX.com

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