Senior AI/ML Platform Engineer

Medallia • Mclean, VA

57d • Hybrid

About The Position

Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the management of experiences, insights, and actions for candidates, customers, employees, patients, and residents alike. We believe that every experience is a memory that can last a lifetime. Experiences shape the way people feel about a company. And they greatly influence how likely people are to advocate, contribute, and stay. At Medallia, we are committed to creating a world where organizations are loved by their customers and their employees. We empower exceptional people to create extraordinary experiences together. Bring your whole self.

The Role and Team
We are looking for a Senior AI/ML Engineer to join our Medallia AI Platform team and lead the migration of our AI platform to AWS GovCloud. This role requires US citizenship due to GovCloud access and deployment requirements. As a Senior AI/ML Engineer on the AI Platform team, you will architect and develop the building blocks of our next-generation AI products while spearheading our GovCloud migration initiative. You will work with cross-functional teams to deliver world-class AI capabilities to government and enterprise customers.

Requirements

• Eligibility Requirement: Due to compliance restrictions for AWS GovCloud environments, US Citizenship is required for this role. Candidates must be eligible to obtain and maintain access to these secure environments.
• BA/BS degree in Computer Science or a related technical discipline, or equivalent practical experience.
• 5+ years of software development in production environments using Python, Java, or Scala.
• Demonstrated experience deploying and operating services on Kubernetes (K8s); familiarity with K8s-based deployment frameworks in regulated environments.
• Demonstrated experience with distributed systems: Spark, Hadoop, Kafka.
• Demonstrated experience with Relational SQL including Postgres.
• Demonstrated experience with code quality best practices and testing architectures on large codebases.

Nice To Haves

• Familiarity with AWS services (EC2, S3, IAM, VPC, EKS, SageMaker) for cases where native AWS deployments are required outside the company's K8s framework.
• Experience with AWS GovCloud or FedRAMP-compliant environments.
• AWS Certified Machine Learning Specialty or Solutions Architect certification.
• Experience with ML model serving platforms: TensorFlow Serving, TensorRT, Triton, KServe.
• Experience with data pipeline and workflow management tools such as Airflow or Kubeflow.
• Microservices development using Django or Spring framework.
• Experience with NoSQL databases including ElasticSearch.

Responsibilities

• Lead the migration of our AI/ML platform services to AWS GovCloud, ensuring compliance, security, and performance standards.
• Design and implement cloud-native ML infrastructure on AWS, including SageMaker, ECS, EKS, and Lambda.
• Monitor, maintain, and optimize deployed models and ML pipelines in GovCloud environments.
• Build and maintain secure data pipelines across national boundaries, adhering to FedRAMP requirements.
• Collaborate with product and design teams to build innovative features for the Customer Experience space.
• Architect scalable solutions for large-scale data processing made available to clients with high performance.
• Design and implement APIs to power front-end applications.
• Identify process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability.
• Participate in a scheduled on-call rotation to maintain the availability and reliability of both internal platforms and customer-facing production systems.

Benefits

• competitive health and wellness benefits, including but not limited to medical, dental, vision, 401(k), short-term and long-term disability, life and AD&D insurance, statutory leaves, paid parental leave, and paid holidays.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree