Senior AI/ML Platform Engineer, GovCloud

Medallia•Mclean, VA

5d•Hybrid

About The Position

Medallia is seeking a Senior AI/ML Engineer to join their Medallia AI Platform team. The primary focus of this role is to lead the migration of the company's AI platform to AWS GovCloud. This position requires US citizenship due to the need for GovCloud access and deployment. The engineer will be responsible for architecting and developing the core components of next-generation AI products while spearheading the GovCloud migration. The role involves working with cross-functional teams to deliver advanced AI capabilities to government and enterprise clients.

Requirements

US Citizenship is required for this role due to compliance restrictions for AWS GovCloud environments. 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.