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Senior 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 .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and implementing AI/ML algorithms, particularly in large language models and natural language processing. Proficient in building and optimizing data pipelines and infrastructure for scalable data extraction and transformation.
Highest-signal resume keywords
AI/ML Algorithm ImplementationData Pipeline DevelopmentLarge Language ModelsAgile MethodologiesActive TS/SCI U.S. Government Security Clearance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonNumPyPandasETL PipelinesData NormalizationDeep Neural NetworksReinforcement LearningClustering AlgorithmsNatural Language ProcessingTransformer-based Architectures
Soft Skills
Team CollaborationProcess ImprovementProblem Solving
Tools & Technologies
GitGitLabAWSLinuxContainersDevSecOpsHuggingFaceLangChainVirtualizationApplication Deployment
Certifications & Qualifications
B.S. in Data ScienceM.S. or PhD in Data Science (Desired)Active TS/SCI U.S. Government Security ClearanceActive TS/SCI U.S. Government Security Clearance with Polygraph (Desired)
Industry Keywords
AI/MLData ScienceSoftware DevelopmentPredictive AnalyticsTime-Series Analysis
Tech Stack
Tools & technologiesAWSCloudETLJavaLinuxNumpyPandasPythonRustTypeScriptC++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 data sets for AI/ML algorithm implementation
- Build infrastructure for optimal extraction, transformation, and loading of data from various sources
- Curate and maintain data supporting metrics and evaluation
- Implement Artificial Intelligence/Machine Learning algorithms
- Identify, design, and implement internal process improvements
- Redesign infrastructure for greater scalability
- Optimize data delivery and automate manual processes
- Use Agile methodologies to develop software
Requirements
What you’ll need- B.S. in Data Science, AI/ML, Computer Science, or related field
- 5+ 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: M.S. or PhD in Data Science, AI/ML, Computer Science, or related field
- Desired: Active TS/SCI U.S. Government Security Clearance with Polygraph
- Desired: Experience with Gitlab, DevSecOps utilizing test-driven development, containers, cloud services, and tools for distributed computing
- Desired: Experience leading an interdisciplinary team of researchers and software developers
- Desired: Experience with Large Language Models, Transformer-based architectures, Natural Language Processing algorithms, reinforcement learning, clustering algorithms, deep neural networks, tracking and pattern-of-life algorithms, GenAI Ops techniques, 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
- Learning and development opportunities