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Tier-1 brand, remote flexibility, mid-level experience and metro locations increase candidate competition.
MLOps/LLMOps skills are transferable but require specific ML, cloud, and managed-services experience.
Explicit 5–8 years and mandatory MLOps/AWS/CI/CD skills make filters strict.
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Lead and optimize managed services processes and tools to enhance client operations and reduce costs.
Manage and mentor delivery teams, focusing on service management strategies and performance improvement.
Develop and implement automation frameworks and handle model lifecycle, release governance, and secure deployments in AI/ML managed services.
5–8 years professional experience in MLOps/LLMOps or related roles.
Bachelor’s degree in Computer Science, Engineering, or related field; masters or relevant cloud/DevOps certifications preferred.
Hands-on experience with AWS cloud services, MLOps/LLMOps lifecycle management, CI/CD pipeline building (GitHub), DevOps automation, and secure configuration management.
Work Location: Anywhere in India, preferably Hyderabad or Bangalore.
Experienced in AI platform engineering with a strategic focus on operational performance and continuous process improvement.
Demonstrated ability to manage complex delivery teams and client relationships in a consulting or managed services environment.
Skilled in automation framework design, service level and workflow automation management, and controlled production deployments.