AI Developer - Model Creation & Full Stack
Indexed description
AI Developer
Job Location
- Fairfax, VA
- Remote
$150,000 - $175,000
Consulting
Company
Everforth ECS
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Software Engineering
Text & Instant Messaging
Scripting Languages
Job Description
Everforth ECS is seeking a highly skilled AI Developer to build high-performance Python-based AI/ML solutions, including LLMs. The role involves creating machine learning models, full-stack application development, and integrating AI into scalable web applications for federal and defense agencies.
Machine Learning & Artificial Intelligence
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.
- Develop high-throughput, event-driven microservices (RESTful APIs, GraphQL) for application backends and MCP servers.
- 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.
- Collaborate 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.
- Education: Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
- Experience: 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, Google Cloud Platform).
- Version Control: Proficiency with GitHub workflows.
- Other: Strong understanding of statistics, linear algebra, and machine learning algorithms. Experience with Databricks and data visualization tools (Matplotlib, Plotly, D3.js).
- 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, Google Cloud Platform AI Platform, Azure ML
- Tools: Docker, Kubernetes, GitHub Actions
- Candidates must be able to obtain a USPS Public Trust Clearance.
- Requires U.S. Ship or Permanent Resident Status.
- Must pass a stringent background check.
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