
Leading company in the technology industry
Machine Learning Engineer
필수 스킬
Python
SQL
AWS
Docker
Kubernetes
Git
Azure
Machine Learning
Job Title: Machine Learning Engineer
Job Category: Information Technology
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI with Polygraph
Employee Type: Regular
Percentage of Travel Required: None
Type of Travel: None
The Opportunity:CACI 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 (Lang Chain, Lang Graph),
- 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 Service Now, SAP, Tableau, or Splunk
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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:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$113,200 - $237,800
CACI 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.
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CACI 소개

CACI
PublicCACI International Inc. is an American multinational professional services and information technology company headquartered in Northern Virginia. CACI provides services to many branches of the US federal government including defense, homeland security, and intelligence.
10,001+
직원 수
Northern Virginia
본사 위치
$5.2B
기업 가치
리뷰
10개 리뷰
3.5
10개 리뷰
워라밸
3.8
보상
2.7
문화
4.0
커리어
3.2
경영진
2.8
65%
지인 추천률
장점
Flexible schedule and remote work options
Good benefits and health coverage
Supportive team culture and friendly coworkers
단점
Below average compensation and salary
Poor management and lack of leadership direction
Limited career advancement opportunities
연봉 정보
23개 데이터
Principal/L7
Senior/L5
Principal/L7 · SENIOR PRINCIPAL ERP CONSULTANT
1개 리포트
$180,665
총 연봉
기본급
$157,100
주식
-
보너스
-
$180,665
$180,665
면접 후기
후기 1개
난이도
1.0
/ 5
소요 기간
14-28주
합격률
100%
경험
긍정 100%
보통 0%
부정 0%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Behavioral Interview
5
Onsite/Virtual Interviews
6
Offer
자주 나오는 질문
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
최근 소식
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·
1w ago




