26-6064: AI/ML Engineer - DC Metro - Secret at Navitas Business Consulting

Herndon, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

10 Oct, 26

Salary

160000.0

Posted On

12 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, TensorFlow, PyTorch, Scikit-learn, AWS Sagemaker, Azure ML, OCI Data Science, ETL/ELT, MLOps, CI/CD, Data Engineering, Predictive Analytics, Model Deployment, Secret Clearance, API Integration, Cloud Platforms

Industry

Software Development

Description

AI/ML Engineer Job ID#: 26-6064 Clearance: Secret Location: Dc Metro Who We Are: Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we’ve served as trusted advisors supporting our client base within the commercial, federal, and state and local markets. What We Do: At our very core, we’re a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions. What You’ll Do: Navitas is seeking an experienced AI/ML Engineer to design, develop, and optimize advanced Artificial Intelligence and Machine Learning solutions that enhance operational, analytical, and decision‑support capabilities across mission‑critical environments. This role blends hands‑on engineering, applied data science, and enterprise integration, ensuring models, pipelines, and tools align with established architecture, performance, and security requirements. The ideal candidate thrives in complex environments, leverages both commercial and government technologies, and delivers scalable, production‑ready AI/ML solutions. Responsibilities will include but are not limited to: Design, develop, and optimize AI/ML models to support predictive analytics, automation, and decision‑support functions. Build, maintain, and enhance data pipelines that support model training, tuning, validation, and deployment. Train, evaluate, and refine algorithms using modern ML frameworks, ensuring accuracy, reliability, and performance. Deploy AI/ML models into production environments, integrating with enterprise systems, APIs, and cloud platforms. Identify, evaluate, and integrate appropriate COTS, government, and custom AI/ML tools within established enterprise frameworks. Ensure all AI/ML solutions meet security, compliance, and performance requirements, including alignment with enterprise architecture standards. Collaborate with data engineers, cloud engineers, DevSecOps teams, and mission stakeholders to deliver scalable, maintainable AI/ML capabilities. Support model monitoring, drift detection, retraining workflows, and continuous improvement cycles. Document and communicate technical approaches, model behavior, and analytical insights to both technical and non‑technical audiences. Contribute to modernization initiatives by recommending new methodologies, tools, and best practices in AI/ML engineering. What You’ll Need: Experience with Python, TensorFlow, PyTorch, Scikit‑learn, or similar ML frameworks. Hands‑on experience with cloud‑based AI/ML services (AWS Sagemaker, Azure ML, OCI Data Science). Strong understanding of data engineering concepts, including ETL/ELT, feature stores, and distributed processing. Familiarity with MLOps practices, CI/CD pipelines, and automated model deployment workflows. Knowledge of security and compliance requirements for government or regulated environments. Ability to translate complex analytical concepts into clear, actionable insights. Salary Range: $80,000 - $160,000 The pay range provided is a good-faith estimate and represents the range the company reasonably expects to pay for this position at the time of posting. Individual compensation may vary based on skills, experience, education, certifications, geographic location, and business needs. Equal Employer/Veterans/Disabled Navitas Business Consulting is an affirmative action and equal opportunity employer. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Navitas Human Resources. Navitas is an equal opportunity employer. We provide employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity or expression, marital status, age, genetic information, disability, veteran-status veteran or military status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Navitas.

Responsibilities

Design, develop, and optimize AI/ML models and data pipelines to enhance operational and decision-support capabilities. Deploy scalable production-ready solutions and collaborate with DevSecOps and cloud engineers to ensure security and performance.