Sr. Manager - Machine Learning Ops

Your Job

As the ML Ops Lead, you will play a critical role in bridging the gap between data science, engineers, product owners and SAS Services.

You will be responsible for implementing and managing the SAS Viya platform and infrastructure, processes, and tools necessary to deploy, monitor, and maintain machine learning models in a production environment.

You will work closely with data scientists, engineers, and other stakeholders to ensure the seamless integration of machine learning solutions into our products and services.

Location: Atlanta GA

Reports To: Director - EAA Operations

Job Type: Full-Time, Hybrid, 3 days a week in Office

What You Will Do

ML Model Deployment: Lead the deployment of machine learning models into production environments, ensuring they are scalable, reliable, and maintainable.

Infrastructure Management: Collaborate with the IT and DevOps teams to provision and manage the necessary infrastructure, including cloud resources, containers, and data pipelines, to support machine learning workloads.

Model Monitoring: Implement robust monitoring and alerting systems to track model performance, data drift, and anomalies, and take proactive steps to address issues as they arise.

Security and Compliance: Ensure that machine learning models and data pipelines adhere to security and compliance standards, and work closely with security teams to address any vulnerabilities or risks.

Collaboration: Excel at collaborating with multiple teams, SAS Inc., Data Scientists and Engineers to understand model and platform requirements, enhancements, and work together to resolve issues and blockers.

Documentation: Maintain clear and comprehensive documentation of ML Ops processes, procedures, and configurations.

Continuous Improvement: Stay up to date with industry's best practices and emerging technologies in ML Ops and proactively identify opportunities to enhance the ML Ops workflows and processes.

Stay Organized: Work with the team and leadership to schedule, prioritize, and plan projects and resources, while keeping the customer and stakeholders updated on key milestones and deliverables.

Team Leadership: Mentor and guide team members and contribute to their skill development.

Who You Are (Basic Qualifications)



* Experience with supervising, managing and developing a team


* Strong knowledge of containerization technologies (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, Azure, GCP).


* Experience with work management tools such asServiceNow, JIRA, Azure DevOps, and/ or market equivalents.


* Strong communication and collaboration skills.

What Will Put You Ahead



* SAS 9.4, Viya 3.5 or 4.0 experience is preferred, with experience in ESP, Model Manager, and SAS Studio


* Proven experience in ML Ops or a similar role, with a deep understanding of machine learning and software engineering principles.


* Proficiency in programming languages such as Python, and experience with automat...