OverviewJOB TITLE: AI/ML Engineer - Data & Full-Stack Solutions
POSITION INFORMATION: Full-Time Position
LOCATION: Fairfax, VA; Hybrid - 3 days onsite/2 remote
POSITION TIMING: ASAP; hiring immediately
BENEFITS: Health, Dental, and Vision, 401(k), Tuition Reimbursement, Flexible Spending Account (FSA), 11 Paid Federal Holidays, 3 weeks Paid Time Off
POSITION OVERVIEW: ITC Federal is seeking a highly skilled
AI/ML Engineer with a strong background in data engineering and full-stack development to support the design, development, and deployment of advanced AI-driven solutions. This role requires a unique blend of technical expertise and the ability to translate complex concepts into clear, customer-facing deliverables, including documentation, proposals, and solution artifacts.
The ideal candidate will have experience taking ideas from concept to production-building intelligent, scalable solutions and integrating them into enterprise environments to drive meaningful business outcomes. This position works closely with cross-functional teams to deliver innovative, production-ready capabilities leveraging modern cloud and AI technologies.
ResponsibilitiesRESPONSIBILITIES:- Design, develop, and deploy AI/ML solutions, including LLMs, NLP, computer vision, and predictive analytics
- Build and implement Retrieval-Augmented Generation (RAG) pipelines and AI-powered applications
- Integrate AI solutions into existing enterprise systems and workflows
- Design and implement scalable data pipelines for ingestion, transformation, and processing of structured and unstructured data
- Develop and maintain data lakehouse architectures
- Build ETL/ELT workflows using tools such as Azure Data Factory, Apache Airflow, or similar
- Develop end-to-end applications, including frontend, backend, and APIs
- Create intuitive user interfaces for AI-driven applications
- Deploy applications using cloud-native architectures (AWS, Azure, GCP)
- Translate business requirements into technical architectures and working solutions
- Integrate AI and data solutions into enterprise and cloud environments
- Collaborate with cross-functional teams to deliver production-ready solutions
- Clearly articulate complex technical concepts through written documentation, proposals, and solution artifacts
QualificationsREQUIRED:- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
- 4+ years of experience in AI/ML, data engineering, or full-stack development
- Strong programming skills in Python, JavaScript/TypeScript, or Java
- Experience with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, OpenAI APIs)
- Experience building data pipelines and working with big data technologies
- Hands-on experience with cloud platforms (AWS, Azure, or GCP)
- Experience with REST APIs, microservices, and frontend frameworks (React, Angular, or Vue)
- Experience with LLMs, RAG architectures, and generative AI applications
- Familiarity with Databricks, Snowflake, or lakehouse architectures
- Experience with DevOps tools (Docker, Kubernetes, CI/CD pipelines)
PREFERRED QUALIFICATIONS:- Experience supporting federal government or GovCon environments
- Experience contributing to proposals, technical responses, or solutioning efforts (e.g., white papers, RFP responses, technical volumes)
WORK ENVIRONMENT AND PHYSICAL DEMANDS: This is a hybrid position requiring 3 days onsite and 2 days remote work per week. Candidates must be able to function in both office and remote environments, including extended periods of computer use and collaboration across distributed teams.
