Technical Lead (Machine Learning Modeling Experience)

M9 Solutions is seeking a Technical Lead (Machine Learning Modeling Experience) to work hybrid/remote/on-site on a government contract for a client located in Washington, DC. An active TS/SCI clearance is required.

Responsibilities

• Develop technical architecture that supports the development approach.

• Forecast and outline technical tasks that guide weekly development in support of technical projects.

• Partner with a government product owner and collaborate with a Data Science Team of 5-8.

• Work with product teams, solution architects, and DevSecOps engineers to strategize system design and implementation for high availability, performance, and resiliency.

• Implement, tune, and troubleshoot infrastructure components of the applications (e.g., AWS services, network, OS, PKI).

• Design and implement containerization resources using Infrastructure-as-Code (IaC) tools (e.g., Terraform).

• Develop and maintain common services and configurations (e.g., logging, SSO, VM images) using IaC tools.

• Implement automated system management and monitoring capabilities to support resiliency and self-healing.

• Conduct regular code, configuration, and architecture reviews to ensure technical quality and adherence to best practices.

• Mentor and oversee junior test analysts to ensure the growth of next-generation technical resources.

Required Skills and Qualifications

• Ability to be on-site three days a week at a client SCIF in Washington, DC.

• Active TS/SCI clearance.

• Bachelor's degree with 4+ years of experience, associate's degree with 6+ years of experience, master's degree with 2+ years of experience, or 8+ years of practical experience in lieu of a degree.

• Significant experience leading a team in developing applications on AWS platforms, from MVP to production deployment.

• Hands-on experience developing software in Python (or similar languages).

• Experience leading the use of Infrastructure-as-Code tools (e.g., Terraform, Ansible, AWS CloudFormation, Azure ARM Templates).

• Experience developing, training, and evaluating AI/ML models.

• Experience working in secure government networks (e.g., NIPR, SIPR, A-LAN, C-LAN).

• Experience implementing and/or operating containerized applications.

• Experience configuring Role-Based Access Control (RBAC).

• Understanding of PKI and certificate management.

Preferred Skills and Qualifications

• 2+ years of experience building and maintaining AWS-based systems.

• Experience incorporating AI/ML models and analytics into cloud products.

• Experience shepherding prototypes from POC to production.

• Experience working with AWS Top-Secret Cloud (C2S/C2E).

• Knowledge of event-based systems and asynchronous message queue infrastructure.

• Experience working with multiple data solutions (e.g., AWS OpenSearch, NoSQL, Indexed Search).

• Experience working in a Scrum-based team structure (SAFe Agile 6.0).

• Experience with AWS services (Lambda, Step Functions, OpenSearch, Data Pipeline), Infrastructure-as-Code (Terraform, Ansible), containerization, certificate management, and code review techniques.