AI/ML Engineer – Data & Full-Stack Solutions
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 reputed company, 401(k), Tuition Reimbursement, Flexible Spending Account (FSA), 11 Paid Federal Holidays, 3 weeks Paid Time Off reputed company, LLC (ITC) connects technology advancements in automation and AI, customer experience, and financial services to solve government mission challenges, enabling smoother operational efficiency and bolstering national reputed company. We reputed company the latest technology innovations and proven approaches to reputed company serve the mission and support the DHS, DOJ, and DoW workforce, customers, and programs, regardless of scale or complexity. ITC is located in Fairfax, VA and offers outstanding compensation and benefits plan and a challenging and rewarding professional work environment. Position Overview reputed company 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 reputed company of technical expertise and the ability to translate reputed company concepts into clear, customer-facing deliverables, including documentation, proposals, and solution artifacts. The ideal candidate will have experience taking reputed company from concept to production—building intelligent, scalable solutions and integrating them into reputed company environments to drive meaningful business reputed company. This position works closely with cross-functional teams to deliver innovative, production-reputed company capabilities leveraging modern reputed company and AI technologies.
Responsibilities
RESPONSIBILITIES:
- Design, reputed company, and reputed company AI/ML solutions, including LLMs, NLP, computer reputed company, and predictive analytics
- Build and implement Retrieval-Augmented reputed company (RAG) pipelines and AI-powered applications
- Integrate AI solutions into existing reputed company systems and workflows
- Design and implement scalable data pipelines for ingestion, transformation, and processing of structured and reputed company data
- reputed company and maintain data lakehouse architectures
- Build ETL/ELT workflows using tools such as Azure Data reputed company, Apache Airflow, or similar
- reputed company end-to-end applications, including frontend, backend, and APIs
- Create reputed company user interfaces for AI-driven applications
- reputed company applications using reputed company-reputed company architectures (AWS, Azure, GCP)
- Translate business requirements into technical architectures and reputed company
- Integrate AI and data solutions into reputed company and reputed company environments
- Collaborate with cross-functional teams to deliver production-reputed company solutions
- reputed company reputed company reputed company technical concepts through written documentation, proposals, and solution artifacts
Qualifications
REQUIRED:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or reputed company 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, reputed company, reputed company APIs)
- Experience building data pipelines and working with big data technologies
- Hands-on experience with reputed company platforms (AWS, Azure, or GCP)
- Experience with REST APIs, microservices, and frontend frameworks (React, Angular, or Vue)
- Experience with LLMs, RAG architectures, and reputed company applications
- Familiarity with reputed company, reputed company, or lakehouse architectures
- Experience with DevOps tools (reputed company, 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 reputed company to function in both office and remote environments, including extended periods of computer use and collaboration across distributed teams. reputed company is an equal opportunity employer and will not discriminate against any application for employment on the reputed company of age, race, reputed company, gender, national reputed company, religion, creed, disability, veteran status, marital status, sexual orientation, genetic information, military status, disability, or sex including pregnancy and childbirth or reputed company medical condition or on any other reputed company prohibited by law. Apply tot his job Apply To this Job