Remote Full Stack Developer Jobs in Yorktown, VA

This role requires the need to build high performance Python-based AI/ML solutions capable of processing extremely large data sets and integrating them into scalable web applications, including LLMs. This role also requires strong problem-solving skills, a deep understanding of AI frameworks, and the ability to work across the entire technology stack. Key Responsibilities: AI/ML Model Development Design, build, fine tune and train machine learning and deep learning models using Python.

Perform data preprocessing, feature engineering, and model optimization. Evaluate models using domain appropriate metrics and improve performance iteratively. * Deploy custom models to production environments (cloud/on-premises) using MLOps best practices.

Full-Stack Development Develop high throughput, event-driven microservices (RESTful APIs, GraphQL) for application backends and MCP servers to serve AI models. Build responsive and user-friendly front-end interfaces for AI-powered applications. Integrate AI models into web and mobile applications.

Ensure scalability, security, and performance of deployed solutions. Collaboration & Documentation Work closely with data scientists, developers, frontend developers, and product managers. Document model architectures, APIs, and deployment processes.

• Participate in code reviews and maintain high coding standards. Note: Candidates must be able to obtain a USPS Public Trust Clearance. This requires US Citizenship or Permanent Resident Status (Green Card), and the ability to pass a stringent background check.

Salary Range: $150,000-$175,000 Required Skills Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field. 3+ years of experience in AI/ML development and full-stack application building. * Programming: Strong proficiency in Python (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, Transformers).

Full Stack: Experience with backend frameworks (Django, Flask, FastAPI) and frontend frameworks (React, Angular, or Vue.js). Databases: Knowledge of SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis). * DevOps & Deployment: Familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, GCP).

Version Control: Proficiency with GitHub workflows. Mathematics & AI Concepts: Strong understanding of statistics, linear algebra, and machine learning algorithms. * Experience with Databricks.

Knowledge of data visualization tools (Matplotlib, Plotly, D3.js). Familiarity with microservices architecture . * Prior experience in AI product development from concept to deployment.

Desired Skills Desired Development Tech Stack: Languages: Python, JavaScript/TypeScript AI/ML: TensorFlow, PyTorch, scikit-learn Backend: FastAPI, Flask, Django Frontend: React.js, Next.js Databases: PostgreSQL, MongoDB Cloud: AWS Bedrock, GCP AI Platform, Azure ML * Tools: Docker, Kubernetes, GitHub Actions ECS Federal, LLC (aka Everforth ECS) is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law. is the federal segment of ,, a $4B global organization with over 10,000 employees.

Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies. Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow.

We value: Attracting and developing top talent and high-performing teams Fostering a culture that is engaging, accountable, and mission-driven Meet the challenge. Make a difference with Everforth ECS! #EverforthECS1