Lead AI and Data Science Engineer | Secret Clearance

Deloitte•Dayton, OH

4d•Hybrid

About The Position

Join our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients’ success. You’ll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Requirements

Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to mentor and provide clear guidance to others
Bachelor’s degree
Active Secret Security Clearance
6+ years of experience in data engineering, data management, artificial intelligence, or machine learning implementation
3+ years of experience designing and integrating data pipelines, data platforms, or application interfaces
2+ years of experience supporting cloud-based or hybrid data and AI environments
Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Nice To Haves

2+ years of experience supporting government technology programs
2+ years of experience with structured and unstructured data processing
2+ years of experience with model deployment, monitoring, or sustainment
Experience with data quality, metadata management, or data governance implementation
Experience with containerized deployment or orchestration technologies
Experience supporting secure solution delivery in regulated environments

Responsibilities

Designing and implementing AI/ML and data engineering solutions that support mission and business objectives
Integrating data pipelines, platforms, and interfaces across cloud and on-premises environments
Establishing data management, data quality, and governance processes to improve reliability and usability of data assets
Supporting deployment, testing, sustainment, and performance optimization of AI/ML models and data solutions
Collaborating with technical and functional stakeholders to translate requirements into scalable system designs