Overview

JOB 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.

Responsibilities

RESPONSIBILITIES:

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

Qualifications

REQUIRED:

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.

ITC Federal

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AI/ML Engineer – Data & Full-Stack Solutions