**Models as a Service (MaaS) Technical Lead** **Who is Epsilon:** Epsilon is an IT Services company that was founded in 2009 and has become an established leader in providing Information Technology services to both Federal Government and Commercial businesses across the United States. Epsilon is known for its solution-focused and innovative approach, aligning technology systems, tools, and processes with the missions and objectives of its customers. Epsilon’s headquarters are in Weaverville, NC with other corporate offices in Greenville, SC, Crystal City, VA, and Denver, CO. We have employees in 30+ States across the U.S. **Why work for Epsilon:** In joining Epsilon’s team, you will have the opportunity to contribute to Epsilon’s business and customer initiatives, as well as influence our brand culture through people interaction and technology advancements. Epsilon invests in our employees by promoting from within and enabling employees to elevate their knowledge and skill set in their profession by allocating $3,000 annually in Professional Development funds. We also offer competitive pay, comprehensive benefits through one of the largest national carriers, Paid Time Off (PTO) that increases with tenure and has a generous rollover, 11 company paid Holidays, and 401(k) with immediate contribution. **Where you’ll work:** This is a hybrid onsite/remote opportunity where you will report to the customer location in Falls Church, VA and have the flexibility to work from home based on business needs. **An average day:** As Models as a Service (MaaS) Technical Lead, you will provide strategic oversight and technical leadership in the design, development, and support of AI/ML models and related infrastructure. This role focuses on building scalable, maintainable solutions that address complex domain-specific challenges while ensuring alignment with organizational objectives and performance standards. In addition to collaborating with various stakeholders, the Technical Lead mentors team members, drives innovation through state-of-the-art algorithmic approaches, and fosters operational efficiency across enterprise systems. In this position you will: + Direct the end-to-end development and support of AI models for multiple functional domains, ensuring advanced scalability, reusability, and alignment with organizational goals. + Oversee the integration, maintenance, and sharing of model-specific metadata—such as training datasets, deployment dates, and usage guidelines—promoting robust governance and transparency. + Perform and guide model retraining, performance monitoring, and updates for complex production models (e.g., time series, anomaly detection, natural language processing, LLM-based text summarization), proactively addressing performance gaps. + Collaborate closely with domain experts to capture critical business requirements, and lead efforts to gather, transform, and prepare data for model training and deployment. + Evaluate, implement, and refine state-of-the-art algorithms—including foundational language models, object detection/classification, and time series analysis—to tackle advanced enterprise challenges. + Ensure strict adherence to enterprise standards for metadata management, governance, and security, integrating policy-as-code and compliance checks into the model lifecycle. + Architect and refine APIs for model inference, enabling seamless deployment and integration with large-scale enterprise applications. + Provide technical leadership in model lifecycle management, including versioning, monitoring, and auditing, ensuring all models adhere to best practices and regulatory requirements. + Enhance and maintain automation pipelines for model training, testing, and deployment, leveraging CI/CD principles to improve efficiency and reliability. + Conduct thorough performance benchmarking and optimization for deployed models in production, incorporating feedback loops and monitoring metrics to drive continuous improvement. + Develop and deliver comprehensive training and documentation to enable domain teams to effectively utilize and govern AI/ML models, fostering a self-service culture. + Ensure compliance with organizational policies and regulatory standards throughout the AI/ML model deployment and usage lifecycle, mitigating risks and addressing vulnerabilities. + Research and integrate emerging technologies—such as serverless architectures or specialized hardware accelerators—to expand AI/ML capabilities and scalability. + Monitor and analyze model performance and usage metrics, providing strategic guidance for iterative refinements and alignment with business objectives. + Collaborate with cross-functional teams—including data engineers, platform specialists, and product owners—to incorporate AI models seamlessly into broader enterprise workflows and solutions. + Provide mentorship and direction to junior AI/ML engineers and data scientists, cultivating technical excellence and professional growth within the team. **Basic Qualifications:** + As a requirement of this position, all candidates must be a U.S. Citizen. In accordance with 8 U.S.C. 1324b(a)(2)(C) , Epsilon will not consider candidates for this position who do not meet the aforementioned conditions. + At least 10 years of experience in AI/ML engineering, data science, or related fields, demonstrating a track record of delivering scalable, high-impact solutions. + DOD 8570 IAT Level II Certification may be required (GSEC, GICSP, CND, CySA+, Security+ CE, SSCP or CCNA-Security). + Advanced proficiency in Python, SQL, PySpark, MLOps, computer vision, and NLP, Databricks, AWS, Data Connections Cluster Training and tools such as GitLab, with proven success in architecting complex AI/ML pipelines. + Deep expertise in training, deploying, and maintaining a diverse range of AI/ML models—including time series, anomaly detection, and large-scale natural language processing—across multiple environments. + Strong understanding of AI model lifecycle management, including comprehensive metadata governance, monitoring, and auditing practices. + Proven experience with API development and integration for AI/ML model inference, ensuring secure, performant, and easily maintainable interfaces. + In-depth knowledge of cloud platforms and scalable infrastructure for AI/ML solutions, including strategies for cost optimization and high availability. + Extensive hands-on experience with CI/CD pipelines and automated testing frameworks for AI models, guiding best practices in continuous integration and delivery. + Advanced knowledge of state-of-the-art algorithms, with a demonstrated ability to match technique selection to complex domain-specific use cases. + Demonstrated capability to optimize models for performance, scalability, and low latency in production settings, employing rigorous testing and iterative improvements. + Experience leading or mentoring technical teams, providing guidance on project direction, technical challenges, and professional development. + One or more of the following certifications are desired: + AWS Certified Solutions Architect or Machine Learning Specialty. + Databricks Certified Machine Learning Professional. + Agile/Scrum Master Certification. + Specialized certifications in AI/ML tools or methodologies. **Other:** + Must hold an Active DOD Top Secret or TS/SCI Clearance + Must be located within a two (2) hour commute of the physical work location **Physical Demands and Working Conditions:** Listed below are the physical or mental requirements necessary for the job's performance. Reasonable accommodation may be made to enable individuals with disabilities to perform essential job functions: + Prolonged periods of computer desk work. + Dexterity of hands and fingers to operate a computer keyboard and other computer components. + Speaking and hearing are sufficient to converse and understand conversations, both in-person, telephone, and virtual meetings. + The cognitive skills needed to complete tasks, including abilities such as learning, remembering, focusing, categorizing, and integrating information for decision-making, problem-solving, and comprehending. + Ability to learn new tasks, remember processes, maintain focus, complete tasks independently, make timely decisions in the context of a workflow, and the ability to communicate with managers and co-workers. + Mental aptitude to respond appropriately in high-pressure situations or deadline-driven environments. + Maintain a professional emotional response when working with others. **Connect directly with your dedicated recruiter on Epsilon’s careers page.** **www.epsilon-inc.com/careers** Epsilon is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. EEO/AA: Disabled/Vets. Please click here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) to review your rights under EEO policy. If you are an individual with a disability and need special assistance or reasonable accommodation in applying for employment with Epsilon, Inc., please contact our Recruiting department by phone 828-398-5414 or by email careers@epsilon-inc.com .