Machine Learning Engineer

CACI International Inc; Chantilly (VA); On-site; USD 113,200 - 237,800; Full time

Benefits offered by this job

Flexible time off

Access to robust learning resources

Job summary

A global technology company in Virginia is seeking a Software Developer with AI experience. The role involves developing and deploying AI solutions to enhance IT operations, requiring an active TS/SCI clearance. Candidates should have a Bachelor's in a relevant technical field, with solid experience in Python, OOP, Docker, and machine learning engineering. The salary range is competitive, with growth opportunities and a supportive culture.

Qualifications

• Active TS/SCI clearance with Poly.
• 5 years of professional experience in software development or machine learning engineering.
• Strong understanding of design patterns and data structures.

Responsibilities

• Develop and maintain machine learning pipelines and applications using Python.
• Implement and optimize algorithms for LLM integration.
• Build RESTful APIs and microservices to serve ML models.

Skills

Python programming

Machine learning engineering

Object-oriented programming (OOP)

Collaboration

Problem-solving abilities

Attention to detail

Education

Bachelor's degree in computer science, Software Engineering, Data Science, or related field

Tools

Docker

Git

SQL

NoSQL

Kubernetes

Job description

Overview

Containerize ML applications using Docker for consistent deployment across environments

The opportunity: CAC I is seeking a Software Developer with AI experience to join our dynamic team. This role will focus on developing and implementing AI solutions to enhance our enterprise-level IT operations. The Developer will work closely with cross-functional teams to design, develop, and deploy AI-driven applications that improve efficiency, automate processes, and provide valuable insights.

Responsibilities

• Develop and maintain machine learning pipelines and applications using Python and modern ML frameworks
• Implement and optimize algorithms for large language model (LLM) integration and deployment
• Build RESTful APIs and microservices to serve ML models in production environments
• Write clean, maintainable, and well-documented code following object-oriented programming principles
• Collaborate with cross-functional teams to understand requirements and translate them into technical solutions
• Work with databases (SQL, NoSQL and Vector) to manage training data, model artifacts, and application state
• Containerize ML applications using Docker for consistent deployment across environments
• Utilize Git for version control and participate in code reviews to maintain code quality
• Conduct testing and debugging of ML applications to ensure reliability and accuracy
• Support the deployment and monitoring of AI/ML models in cloud environments
• Stay current with emerging trends in machine learning, LLMs, and AI engineering best practices

Qualifications

Required:

• Active TS/SCI clearance with Poly
• Bachelor's degree in computer science, Software Engineering, Data Science, or related technical field with 5 years of professional experience in software development or machine learning engineering
• Strong proficiency in Python programming with solid understanding of object-oriented programming (OOP) concepts, design patterns, data structures, and algorithms
• Experience with development tools and practices including Git version control, Docker containerization, and database management (SQL and/or NoSQL)
• Knowledge of LLM technologies including exposure to Large Language Models, orchestration frameworks (LangChain, LangGraph)
• Understanding of RAG architectures and vector databases (ChromaDB, Pinecone, Weaviate, or similar) for building intelligent retrieval systems
• Strong problem-solving abilities, attention to detail, excellent communication skills, and eagerness to learn in a collaborative team environment

Desired:

• Master's degree in computer science or related field
• Experience with cloud platforms (AWS, Azure, or Google Cloud) and knowledge of MLOps practices for ML model deployment and monitoring
• Experience with container orchestration and DevOps including Kubernetes, Rancher, CI/CD pipelines, and infrastructure automation tools like Ansible
• Familiarity with enterprise platforms such as ServiceNow, SAP, Tableau, or Splunk
• Contributions to open-source ML projects and familiarity with Agile development methodologies

What You Can Expect

A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.

Pay Range

The proposed salary range for this position is $113,200 - $237,800.

CA CI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.