AI/ML Engineer - OpenLake

Job Description

Job Description

AI/ML Engineer – OpenLake

Build scalable AI/ML solutions, data pipelines, and web applications that support intelligence analysis.

Location: McLean, VA

Salary: (salary is commensurate with education and experience)

Clearance: Active TOP SECRET with Polygraph required

Job Code: 09182026-4444-02

The Opportunity

Our customer seeks an AI/ML engineer with demonstrated experience building tools and workflows on its OpenLake platform. Working with data scientists, data engineers, application developers, and data management coordinators, you will deploy web applications, build extract, transform, and load (ETL) pipelines, and develop AI/ML solutions that accelerate analytic workflows and help partners derive insights from large data stores.

What You Will Do

• Implement requirements aligned with the customer's GTM priorities and develop AI/ML deliverables on its OpenLake instance.
• Create resilient data engineering pipelines using technologies such as Trino, Iceberg, SQL, Postgres, Spark, Neo4j, Elasticsearch, and Apache Hive, integrated with OpenLake.
• Develop robust web applications on OpenLake using modern frameworks such as React and Node.
• Provide technical guidance and subject matter expertise in AI/ML, web application development, and ETL.
• Maintain the cloud infrastructure and system accreditation associated with OpenLake and production applications developed on the platform.
• Ensure technical development and content comply with customer security policies and regulations.
• Use Confluence and JIRA to define and track requirements; maintain all code, including infrastructure code, in GitHub for customer access.

Required Experience

• OpenLake: Demonstrated experience working on OpenLake, including navigating, developing, and deploying production-ready data pipelines and web applications.
• Developing AI/ML solutions that answer key intelligence questions.
• Using Elasticsearch, Neo4j, Kibana, JavaScript, Trino, Apache Hive, and Apache technologies.
• Using Amazon Web Services (AWS) for automation, application deployment, and resource management, and leveraging GPUs for accelerated computing.
• Working with junior data scientists, data engineers, and application developers, and collaborating with multiple stakeholders.
• Managing and developing system accreditation and security-related documentation.
• Developing deliverables at scale for continued use, rather than one-off solutions.

Highly Desired Experience

• Amazon Web Services certifications.
• Experience with the customer's assessment and authorization (A&A) processes.
• Experience with a variety of the customer's data systems and sources.
• Knowledge of the customer's data management principles and workflows.

Apply Now

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