Sr. ML Platform Engineer (AWS SageMaker)

BEPC has an open position as a Sr. ML Platform Engineer (AWS SageMaker) Benefits: Medical, Dental, Vision, and Life Insurance Pay Rate: $100.00 - $102.94 Per hour based on experience Term: 12-month contract with possible extensions or permanency based on performance Shift: 8:00 AM to 5:00 PM Requirements Bachelor’s Degree / 10–15 years of software engineering experience focused on cloud infrastructure, platform engineering, or ML platform operations. / 5+ years of hands‑on AWS experience / 3+ years building and supporting production MLOps environments Position Overview We are seeking a highly experienced Senior ML Platform Engineer to design, build, and operationalize an enterprise Machine Learning platform on AWS SageMaker Unified Studio. This role will lead the migration from a fragmented ML ecosystem to a unified, governed platform running on AWS Landing Zone 2, supporting the complete ML lifecycle from data discovery and experimentation through deployment, monitoring, and governance. This is a fully onsite position based in Plano, TX. Local candidates are strongly preferred. Key Responsibilities Configure and manage SageMaker Unified Studio environments, including domain setup, project provisioning, persona‑based access controls, and multi‑environment promotion workflows (Dev, UAT, Prod). Design and implement enterprise‑grade MLOps pipelines using SageMaker Pipelines for data ingestion, preprocessing, model training, evaluation, and deployment. Manage SageMaker Model Registry, including model versioning, cross‑account promotion, lineage tracking, and governance. Implement MLflow experiment tracking with automated logging of metrics, parameters, and artifacts. Configure and maintain identity and access management integrations including Okta SSO, SailPoint, IAM roles, and service accounts. Develop scalable model serving solutions using SageMaker Endpoints and batch inference workflows. Establish model monitoring frameworks for drift detection, data quality validation, and performance monitoring. Configure enterprise data catalog capabilities with lineage tracking and governed access workflows. Support platform operations, observability, logging, monitoring, custom container images, and infrastructure optimization using CloudWatch and Datadog. Required Qualifications 10–15 years of software engineering experience focused on cloud infrastructure, platform engineering, or ML platform operations. 5+ years of hands‑on AWS experience with deep expertise in Amazon SageMaker Studio Classic (required). 3+ years building and supporting production MLOps environments, including versioning. Strong experience with SageMaker Studio Classic; SageMaker Unified Studio experience preferred. Strong experience with MLflow or equivalent experiment tracking platforms. Experience with workflow orchestration tools such as SageMaker Pipelines, Airflow, or AWS Step Functions. Infrastructure‑as‑Code expertise using Terraform, AWS CDK, or CloudFormation. Experience designing IAM architectures for ML platforms, including cross‑account access, SSO/SAML integrations, and Lake Formation. Experience with model serving, endpoint monitoring, batch inference, and auto‑scaling. Experience integrating Snowflake as a data source for machine learning workflows. Kubernetes (EKS) and container orchestration experience. Strong networking and security knowledge including VPCs, security groups, private endpoints, and cross‑account connectivity. Preferred Qualifications SageMaker Unified Studio domain provisioning and blueprint customization. SageMaker Feature Store implementation and management. AWS Certified Machine Learning – Specialty certification. Experience standardizing enterprise ML projects and governance frameworks. Additional Information Local candidates in the Plano, TX area are highly preferred. Export Control documentation will be required during onboarding (not required during submission). Seeking a strong SageMaker‑focused MLOps Platform Engineer with extensive AWS expertise. Contract length is 12 months with potential for extension. #J-18808-Ljbffr BEPC Inc. - Business Excellence Professional Consulting