Senior AI Engineer / MLOps Engineer
# Senior AI Engineer / MLOps Engineer **Achutha** · Bengaluru, Karnataka · `On-site` 🕒 **Статус:** *Опубликовано: 11 дней назад* · *Источник: Indeed* --- ### About the Role Job DescriptionRole: Senior AI Engineer / MLOps Engineer Experience: 8+ years Location: Bengaluru Responsibilities Design and implement end-to-end MLOps pipelines covering data ingestion, training, validation, model packaging, deployment, monitoring and retraining.Productionize ML and AI models developed by Data Science/ML teams.Build automated CI/CD and CT (Continuous Training) pipelines.Implement model versioning, experiment tracking and model registry using MLflow, Kubeflow, SageMaker or Azure ML., for example, emphasizes SageMaker, MLflow, Kubeflow, Databricks, model deployment/monitoring/retraining, CI/CD, Docker, Kubernetes/EKS and Terraform. Another Bengaluru AI/MLOps platform role emphasizes MLflow/Kubeflow, Kubernetes, IaC, GitOps, GenAI/LLMOContainerize ML/AI workloads using Docker and deploy them on Kubernetes/EKS/AKS/GKE.Develop model-serving APIs using Python, FastAPI/Flask.Implement model monitoring, data/concept drift detection, performance monitoring and alerting.Build observability using Prometheus, Grafana, CloudWatch/Azure Monitor or equivalent.Automate infrastructure provisioning using Terraform / CloudFormation / Bicep.Work with AWS/Azure/GCP ML services such as SageMaker, Azure ML and Vertex AI.Establish security, governance, access control and deployment standards for production AI systems.Optimize model inference for latency, throughput and cloud/GPU cost.Collaborate with Data Scientists, ML Engineers, Data Engineers, DevOps and Product teams.Mentor junior engineers and contribute to architecture and technical design. Pay: ₹100,000.00 per month Experience: - Senior AI Engineer / MLOps Engineer: 8 years (Required) Work Location: In person
Наблюдалась 2026-10-06, впервые 2026-09-25, источник — Indeed.