Data Engineer (Multi-levels Mid-Senior)

Credence is one of the largest privately held technologies services company in the country, repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success.

At Credence, we support our clients’ mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for warfighters and secure our nation for a better future.

We value innovation, integrity, and continuous learning—and we are committed to investing in the next generation of tech talent.

This is an upcoming opportunity in late 2025 for highly motivated Data Engineer(s) to join our growing team. In this role, you will leverage your hands-on experience with foundational code for data pipelines and data base migrations to design, develop, and implement AI models and machine learning algorithms to support a variety of high-impact projects. This position is ideal for an engineer ready to deepen their expertise in AI/ML and automation, taking on exciting technical challenges at the Mid and Senior levels at multiple locations

• Must have demonstrated experience deploying solutions and production experience with applications 
  
• Experience supporting designing, developing, and deploying machine learning models and AI-driven solutions will be key for the successful candidate in this role. 
• Collaborate with cross-functional teams, including data scientists, software engineers, product managers, and client stakeholders to understand, evaluate and deliver AI solutions that meet the requirements. 
• Conduct data preparation, feature engineering, model selection, training and optimization to ensure optimal performance from the AI models. 
• Design and implement AI solutions using the latest Generative AI technologies and foundation models / large-language models (LLMs). 
• Develop automation scripts for MLOps pipelines in cloud using Infrastructure as Code (IaC) for ML model deployment in model inferencing workflows, following best practices of model versioning and CI/CD deployments. 
• Manage AI model performance post-deployment and support AI tool development and best practices
• Stay updated on AI & ML trends and write clean, maintainable and well-documented code following industry standards

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 
• US citizenship with the ability to obtain successful DoD TOP SECRET security clearance required.
  
  • Mid-Level Data Scientist 3-7 years of hands-on experience in AI/ML development & deployments of AI projects and/or
  • Senior Level Data Scientist 10+ years of hands-on experience in AI/ML development & deployments of AI projects.
• Strong knowledge of AI/ML techniques, including supervised, unsupervised, and reinforcement learning, with expertise in Python, AI/ML key libraries, and basic LLM concepts
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes). 
• Experience using ML frameworks and tools in the cloud, such as Amazon Sagemaker. 
• Strong problem-solving skills and the ability to work both independently and as part of a team. 
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. 

Please join us, as together we build a better world one mission at a time powered by Technology and its People!

Locations: 

HQ- McLean VA - Tyson's Corner - Hybrid

Dayton OH, Wright Patterson AFB - On-site

Warner Robbins GA, Robins AFB - On-site

Hampton VA, Langley AFB - On-site

Sumter SC, Shaw AFB - On-site

#LI-Hybrid

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