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Strong employer brand, Hyderabad metro, mid-level AI/MLOps role with broad cloud and LLM skill requirements.
Technical ML, MLOps and cloud skills are broadly transferable across industries, lowering background sensitivity.
Explicit 6+ years plus many mandatory cloud, MLOps, LLM, and Kubernetes skills increase shortlisting strictness.
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Lead end-to-end design, development, and production rollout of scalable cloud-native AI/ML and Generative AI solutions.
Architect and implement distributed microservices-based systems using cloud platforms (AWS, GCP, Azure), Docker, Kubernetes, and CI/CD pipelines with focus on security, compliance, and performance.
Drive MLOps practices including model lifecycle management, monitoring, and zero-downtime deployment strategies while mentoring junior engineers.
6+ years of experience in software engineering or related roles.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Strong hands-on experience with cloud platforms (AWS, GCP, or Azure), microservices architecture, Docker, Kubernetes, CI/CD, and DevOps practices.
Proven expertise in building AI/ML or Generative AI solutions including LLM-based applications, RAG pipelines, vector databases, and implementing MLOps.
Experienced senior/lead engineer comfortable with cloud-native architectures and scalable AI/ML system design.
Proficient in deploying robust, resilient distributed systems with strong operational practices (monitoring, observability, deployment).
Capable of collaborating cross-functionally to translate business/product requirements into scalable technical solutions and mentoring engineering teams.