Jobs → Engineering → Senior AIML Platform Engineer

About the Role We are seeking a Senior AI/ML Platform Engineer to design, implement, operate, and improve the shared enterprise AI/ML platform. This role focuses on platform automation, MLOps, CI/CD, cloud infrastructure, observability, reliability engineering, and cost optimization. Key Responsibilities • Design and implement the shared enterprise AI/ML platform • Focus on platform automation, MLOps, CI/CD, cloud infrastructure, observability, reliability engineering, and cost optimization • Improve ML CI/CD pipelines, automation frameworks, and deployment processes • Manage cloud resource management and cost optimization • Develop internal SDKs, CLI tools, reusable templates, APIs, and standardized deployment workflows Requirements • 10+ years of experience in platform engineering, MLOps, or data/software engineering • 2+ years working with production ML systems • Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related technical discipline • Strong proficiency in Python and production-grade software development • Experience with AWS, Azure, or GCP, including cloud resource management and cost optimization • Advanced Kubernetes experience, including cluster management, resource quotas, autoscaling, and workload scheduling • Experience with Prometheus, Grafana, Datadog, OpenTelemetry, or equivalent observability tools • Production-scale experience with Terraform and Ansible • Strong understanding of the ML lifecycle, experiment tracking, model registries, feature stores, model serving, and drift monitoring • Experience with automated model validation, testing, A/B testing, canary deployments, rollback, and production releases • Strong troubleshooting, incident response, root-cause analysis, and technical documentation skills