Senior Information Solution Architect

DPRA Incorporated • Washington, DC

1d • Remote

About The Position

Helping our clients achieve their goals starts with attracting and obtaining top talent. We look for highly innovative and bright individuals; give them the tools they need, then give them the freedom to do what they do best. We empower our employees to make the best of their opportunities in a rewarding and challenging environment.

We have a passion for excellence. Our employees thrive on making a difference and generating results for our clients in a flexible environment that offers support and camaraderie. No matter where you are located, DPRA offers learning opportunities and a flexible work style to help our staff manage responsibilities and add balance to their lives.

Along with a flexible workplace, DPRA offers a Total Rewards program that provides its employees with not only a competitive salary, but also covers a wide variety of benefits and programs! If you are looking for a challenging position in an innovative company, then this is the position for you.

Currently, DPRA is searching for an Senior Information Solution Architect. This remote full-time position will provide top-level technical expertise, including performing in-depth and complex AI/ML software systems programming, configuration and analysis. The successful candidate will build, deploy and maintain machine learning systems in production. The information solution architect works with a team of Analysts, Subject Matter Experts and Data Scientist to determine application and data requirements and recommend system solutions.

Requirements

• Strong software engineering skills using Python, C++, and Java.
• Experience using Machine Learning (ML) frameworks (TensorFlow, PyTorch, JAX).
• Strong Experience with ML Ops tools (MLflow, Kubeflow, SageMaker, Vertex AI).
• Experience with Containerization & Orchestration (Docker, Kubernetes).
• Experience in Cloud deployment (AWS/GCP/Azure).
• Experience with monitoring & observability for ML systems.
• Bachelor’s degree in computer science, mathematics or another techically related field.
• Minimum of 7 years’ experience performing the functions on commercial or DoD programs/projects.
• Must be a U.S. Citizen with and Active DoD security clearance (preferred), or the ability to obtain and maintain a DoD security clearance.

Nice To Haves

• Experience with the following is a plus:
• Interactive Geospatial (Maps) design and implementation
• CSS processors such as sass and less
• Static-typed superscripts of JavaScript such as TypeScript of Flow
• Node.js, Angular, AngularJS
• Building systems such as wepack, rollup, grunt and gulp
• Using Jira for Agile Development Management
• Other relevant Technical and Agile certifications (i.e. Certified Scrum Mater, Microsoft (MCSD, MCSE) Certifications, SaFE Certifications, etc.)
• Some Knowledge of Amazon Web Services (AWS)

Responsibilities

• Takes AI/ML models from Data Scientist and rewrite/optimizes them for scale.
• Builds training/deployment pipelines, APIs, monitoring artifacts.
• Helps ensure systems/containers/code are compatible and in compliance with CMMC standards for open systems and DoD architecture.
• Identifies, assesses, and presents options for meeting the functional and technical requirements including software updates or upgrades.
• Interacts with project management to plan project schedules, level of effort, and technical direction.
• Develops AI/ML implementation design documents and technology white papers.
• Maintains and recommends software quality coding standards and ensures such standards are adhered to.
• Develops high level system design diagrams for program design, coding, testing, debugging and documentation.
• Performs QA software product reviews.
• Receiving ML models (often prototypes from Data Scientists) and making them production ready.
• Designing end-to-end ML pipelines: training, evaluation, deployment, monitoring, retraining.
• Optimizing models for latency, throughput, and cost (quantization, distillation, distributed training).
• Implementing ML Ops: CI/CD for ML, model registries, versioning, reproducibility.
• Collaborating with Data Engineers to ensure pipeline compatibility, and with Systems Engineers to ensure deployment runs smoothly on cloud infrastructures.
• Monitoring model drift, data drift, and setting up automated model retraining triggers.
• Writing scalable APIs/microservices to expose models.
• Ensuring compliance, security, reliability, and performance in real-world use.
• Ability to perform senior level tracking, testing, validation and verification of complex software applications.
• Contributing to all activities and steps that form the software development process with an emphasis on design, implementation, testing and deployment.
• Strong problem-solving skills and ability to resolve technical issues independently when needed.
• Knowledge of Continuous Integration using Jenkins, Maven, GIT. Ability to deploy updates and fixes.
• Ability to work directly with the functional subject matter experts and the customer in the design of software and clarification of requirements.
• Ability to engineer secure code, as defined by DoD guidance.

Benefits

• competitive salary
• wide variety of benefits and programs
• flexible workplace
• Total Rewards program

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees