Architect, Data Science & Engineering (GCP)

DMI is a leading provider of digital services and technology solutions, headquartered in Tysons Corner, VA. With a focus on end-to-end managed IT services, including managed mobility, cloud, cybersecurity, network operations, and application development, DMI supports public sector agencies and commercial enterprises around the globe. Recognized as a Top Workplace, DMI is committed to delivering secure, efcient, and cost-effective solutions that drive measurable results. Learn more at www.dminc.com

Position Opening

Digital Mobile Innovations LLC

Architect, Data Science & Engineering

Multiple Full-time professional position at business office located in McLean, VA with relocations to unanticipated project sites within the US expected. No travel is required for this position.

Duties:

Data Strategy: Overlooking the overall data integration program and proposing optimization initiatives for efficiency and quality.
• Solution Architecture: Engaging with business and technical stakeholders to understand integration requirements and lead the creation of the technical solution architecture.
• Provide leadership into planning and design of development feature, deployment features, and governing processes to manage ecosystem.
• Design and implement scalable ETL processes in the data warehouse platform to support the rapidly growing and dynamic business demand for data, including automation of ETL auditing.
• Review of functional and technical designs to identify areas of risk and/or missing requirements.
• Communicate system architecture, design solutions to technical and business teams, and win approval for process improvement recommendations.
• Collaborate with business stakeholders, enterprise technology, data analysis and AI/ML teams.
• Oversight of the adoption of enterprise Data Governance, Data Validation, Data Cleansing, Quality Assurance programs where they exist, or creation of these as appropriate.
• Guidance and mentorship data engineers.
• Design robust AI/ML architectures that align with business goals. Oversee end-to-end implementation of AI/ML projects. Ensure solutions are scalable, efficient, and effective in addressing business challenges.
• Utilize advanced machine learning techniques to solve critical business problems. Ensure models are designed for scalability and robustness. Deploy models into production, ensuring seamless integration with existing systems.
• Design and develop efficient data pipelines that support AI/ML models. Ensure data workflows are optimized for performance and reliability. Facilitate the integration of fata from various sources to enhance model accuracy.
• Lead the development of PoC and production-level generative AI models. Collaborate with teams to integrate these models into existing systems. Ensure the models are scalable, reliable, and meet business objectives.
• Conduct thorough testing to validate the performance of AI/ML models. Implement quality assurance processes to ensure reliability and scalability. Continuously monitor and optimize models to maintain high performance.
• Establish and enforce guidelines for AI/ML model governance. Utilize version control systems to manage model iterations. Implement monitoring solutions to track model performance and ensure compliance.
• Prepare and deliver presentations on AI/ML solutions and findings. Tailor presentations to suit the audience, ensuring clarity and engagement. Use data visualization and storytelling techniques to convey complex information effectively.
• Act as a technical mentor for members of the Data & Analytics team, providing input and feedback to others. Foster a culture of innovation and continuous improvement within the team. Lead by example, promoting best practices in AI/ML development.
• Review business requirements documentation, technical design documentation, data flow documentation, and participate in peer review cycles with technical & non-technical counterparts.
• Establishes and maintains documentation of programs, user guides, policies, data flow documentation, and procedures, particularly in support of the acceptance of solution s as credible to non-technical users of information.

Collaborates with Stakeholders, Analysts, Developers, Engineers, BI Developers, and Data Scientists in the development and integration of data, insights, and solutions within the purview of the Data & Analytics division

Education Requirements: Master's degree in Computer Science, Computer Engineering, or Data Science and three years of experience in the job offered or a related Database Architect position; OR Bachelor's degree in Computer Science, Computer Engineering, or Data Science and five years of experience in the job offered or a related Database Architect position.

Special Requirements: Three years of experience utilizing the following database architect tools: Python, AI/ML frameworks (PyTorch, TensorFlow, LangChain, Scikit-learn, FastAPI), Cloud Platforms (AWS & Azure), Databases (SQL, VectorDB), Project Management Tools (JIRA, Azure DevOps), Mobile Technologies (Android, Xamarin).

Mail resumes to: Digital Mobile Innovations LLC, Attn: Katherine Miller, 1600 International Drive, Suite 500, McLean, VA 22102. Please Reference: Architect, Data Science & Engineering.

This open position is eligible for DMI's Employee Referral Program.

DMI is a diverse, prosperous, and rewarding place to work. Being part of the DMI family means we care about your well-being. As such, we offer a variety of perks and benefits that help meet various interests and needs, while still having the opportunity to work directly with a number of our award-winning, Fortune 1000 clients. The following categories make up your DMI well-being:

• Convenience/Concierge - Virtual visits through health insurance, pet insurance, commuter benefits, discount tickets for movies, travel, and many other items to provide convenience.
• Development - Annual performance management, continuing education, tuition assistance, internal job opportunities along with career enrichment and advancement to help each employee with their professional and personal development.
• Financial - Generous 401k matches both pre-tax and post-tax (ROTH) contributions along with financial wellness education, EAP, Life Insurance, and Disability to help provide financial stability for each DMI employee.
• Recognition - Great achievements do not go unnoticed by DMI through the Annual Awards ceremony, service anniversaries, peer-to-peer acknowledgment, and employee referral bonuses.
• Wellness - Healthcare benefits, Wellness programs, Flu Shots, Biometric screenings, and several other wellness options.

Employees are valued for their talents and contributions. We all take pride in helping our customers achieve their goals, which in turn contributes to the overall success of the company.

***************** No Agencies Please *****************

Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. US citizenship may be required for some positions.