AI and ML Engineer

AI and ML Engineer

The Opportunity: 

Are you looking for an opportunity to not just develop software, but to build a system that will have a positive impact? Are you a machine learning (ML) engineer or data scientist with development skills who relishes the opportunity to leverage and deploy AI models within a solution? We are looking for an engineer who embraces real-world AI problems and relishes the opportunity to apply the latest in technology. In an increasingly connected world, massive amounts of structured and unstructured data introduce new opportunities. These opportunities require developers capable of building the services and infrastructure necessary to realize the promise of ML and AI. As an AI Systems Engineer, you will transform cutting-edge ML capabilities into applications that solve global challenges.

You’ll work closely with your customers to understand their questions and needs, then collaborate with subject matter experts and an elite group of fellow engineers to deliver impactful solutions to the customer. You’ll identify the right combination of tools and frameworks, develop MLOps pipelines, and deliver robust ML applications that turn complex datasets into objective answers to help our military leaders make informed decisions in operational environments.

Join us. The world can’t wait.

You Have:  

• 3+ years of experience with building data science and AI or ML solutions that support enterprise operational business and mission use cases

• 2+ years of experience with MLOps tools, incuding MLFlow and Databricks

• 2+ years of experience with addressing functional, technical, and performance requirements

• 2+ years of experience with evaluating architectural tradeoffs for data science and AI or ML solutions

• 2+ years of experience with AWS or Azure cloud technologies

• Experience with containerization, including Docker or Kubernetes

• Experience with projects in computer vision, deep learning, NLP, or generative AI focus

• Experience with Spark, Databricks, or data engineering and data workflows using cloud-native solutions or tools

• Ability to obtain a security clearance

• Bachelor's degree

Nice If You Have:  

• 2+ years of experience with data science, machine learning engineering, data analytics, or data research

• Experience with DevOps and automation frameworks, including Ansible, Jenkins, or Terraform to streamline the software delivery process in event-sourced applications

• Experience with making backend models accessible, including building APIs to share data and calling APIs within applications or software

• Experience with client engagements, client-facing project work, and business development

• Experience with Agile methodology, software engineering, and software products

• Experience in containerization and container orchestration platforms, including Kubernetes

• Knowledge of ML-Ops and ML-Flow

• Knowledge of evaluating and applying ML algorithms or models, including natural language processing

• Possession of excellent verbal and written communication, interpersonal, analytical, problem-solving, and organizational skills

• AWS or Azure Associate level Cloud Certification

Clearance: 

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Create Your Career: 

Grow With Us 

Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbur