Advanced Data Engineer/Analyst - Artificial Intelligence (AI)/Machine Learning (ML)

Overview

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 war-fighters and secure our nation for a better future.

We are privately held, are 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.

We are actively seeking a Mid Level Advanced Data Engineer/Analyst - Artificial Intelligence (AI)/Machine Learning (ML) to join our growing Automation practice. As a federal contractor, you will work on a DOD client-facing role, providing guidance for full life cycle IT programs and supporting the development of AI and automation solutions.

Responsibilities include, but are not limited to the duties listed below

• Design, develop, and implement AI and ML solutions
• Collaborate with cross-functional teams to identify and prioritize project requirements
• Develop and maintain technical documentation for AI and ML solutions
• Participate in the development of proof-of-concept projects to validate proposed solutions
• Provide technical support and guidance to junior team members
• Stay up to date with industry trends and emerging technologies in AI and ML

Education, Requirements and Qualifications

• Bachelor's degree in computer science, data science, or related field
• US citizenship required
• Excellent oral and written communication skills
• Ability to obtain a successful DoD Federal Background Investigation
• SECRET security clearance required
• Minimum of 5 years of related experience
• Experience with AI and ML frameworks and tools, such as TensorFlow, PyTorch, or scikit-learn
• Knowledge of cloud computing platforms, such as AWS or Azure
• Understanding of data engineering principles and data modeling concepts
• Experience with agile development methodologies and version control systems, such as Git

Preferred Qualifications:

• Master's degree in computer science, data science, or related field
• Experience with DevOps tools, such as Jenkins or Docker
• Knowledge of cybersecurity principles and cloud security best practices
• Experience with data visualization tools, such as Tableau or Power BI

Working Conditions and Physical Requirements

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

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