AI/ML Engineer

CACI International Inc

. Support the development of AI/ML algorithms across large language models, natural language processing, and time-series predictive analytics .

Posted 9/30/2026full-timeUnited StatesMid-LevelSenior💰 $69,100 - $141,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing AI/ML algorithms, implementing ETL pipelines, and building scalable infrastructure for data processing. Proficient in utilizing Agile methodologies and collaborating within multidisciplinary teams to optimize data delivery and support AI/ML solutions.

Highest-signal resume keywords

AI/ML Algorithm DevelopmentETL Pipeline ImplementationData Pipeline DevelopmentLarge Language ModelsActive TS/SCI U.S. Government Security Clearance

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonNumPyPandasPolarsNLP AlgorithmsDeep Neural NetworksReinforcement LearningClustering AlgorithmsGitDevSecOps

Soft Skills

Team CollaborationInterdisciplinary Leadership

Tools & Technologies

AWSHuggingFaceLangChainLinuxJavaC++RustGoC#CUDA

Industry Keywords

Data ScienceMachine LearningNatural Language ProcessingPredictive AnalyticsAgile Methodologies

Tech Stack

Tools & technologies

AWSCloudETLJavaLinuxNumpyPandasPythonRustTypeScriptC++Go

About the role

Key responsibilities & impact

Support the development of AI/ML algorithms across large language models, natural language processing, and time-series predictive analytics
Work within a multidisciplinary team of developers and researchers
Implement ETL pipelines supporting AI/ML and LLM solutions
Assemble large, complex datasets for AI/ML algorithm implementation
Build infrastructure for extraction, transformation, and loading of data from various sources
Curate and maintain data supporting metrics and evaluation
Implement artificial intelligence and machine learning algorithms
Design and implement internal process improvements, scalable infrastructure, optimized data delivery, and automated processes
Use Agile methodologies to develop software

Requirements

What you’ll need

B.S. in Data Science, AI/ML, Computer Science, or related field
3+ years of experience, preferably as Data Engineer/Scientist, Machine Learning Engineer, or Software Development
Experience developing data pipelines and normalizing data with canonical Python packages (e.g. NumPy, Pandas, Polars)
Experience contributing within a team setting using version control (e.g. git, GitLab, Bitbucket)
Active TS/SCI U.S. Government Security Clearance
Up to 10% travel required
Desired: Experience with Gitlab, DevSecOps utilizing test-driven development, containers, cloud services, and distributed computing tools
Desired: Experience leading an interdisciplinary team of researchers and software developers
Desired: Experience with Large Language Models, Transformer-based architectures, NLP algorithms such as BERT, reinforcement learning, clustering algorithms, deep neural networks, tracking and pattern-of-life algorithms, GenAI Ops, HuggingFace, LangChain, Linux, AWS, Java, C++, Rust, Go, C#, CUDA, application deployment, virtualization, containerization, and proposal writing

Benefits

Comp & perks

Flexible time off benefit
Robust learning resources
Healthcare benefits
Wellness benefits
Financial benefits
Retirement benefits
Family support benefits
Continuing education benefits
Time off benefits
Competitive compensation