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You will be updated with latest job alerts via emailKEY RESPONSIBILITIES Responsible for development of datadriven solutions across BUs and Hus. Develop and maintain CI/CD pipelines for software applications and AI/ML model deployments. Deploy and scale GenAI models using Kubernetes Docker and serverless computing. Optimize cloud infrastructure (AWS Azure GCP) for AI/ML workloads. Automate infrastructure provisioning with Terraform Ansible CloudFormation. Monitor AI model performance and system health using Prometheus Grafana ELK Stack. Implement MLOps best practices for continuous model training versioning and monitoring. Ensure security compliance API governance and ethical AI standards. Collaborate with Data Science & AI teams to streamline AI model deployment. Manage GPU clusters vector databases and inference endpoints for GenAI applications.
Qualifications :
B.E./. (Computer Science/IT/any related) from a premier institute would be preferred Experience with LLM finetuning AI inference optimization LangChain and RAG pipelines. Certifications like AWS Certified DevOps Engineer CKA (Certified Kubernetes Administrator) Google Cloud ML Engineer are a plus. Experience with serverless AI architectures (Lambda Cloud Run Fargate).
Remote Work :
Yes
Employment Type :
Fulltime
Remote