AI/ML Engineer

CACI International Inc is seeking an AI/ML Engineer to support the development of artificial intelligence and machine learning algorithms across large language models, natural language processing, and time-series predictive analytics. The role focuses on building ETL pipelines and data infrastructure, implementing AI/ML solutions, improving internal processes, and developing software using Agile methodologies.

Responsibilities

• Work within a multidisciplinary team consisting of both developers and researchers. The team's core focus is the implementation of ETL pipelines to support a variety of AI/ML and LLM solutions, which in turn address a broad range of customer challenges
• As an AI/ML Engineer, you will:
• Assemble large, complex sets of data to support AI/ML algorithm implementation
• Build required infrastructure for optimal extraction, transformation and loading of data from various data sources
• Curate and maintain data that is stored in support of metrics and evaluation
• Implement Artificial Intelligence/Machine Learning algorithms
• Identify, design, and implement internal process improvements including re designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
• Use Agile methodologies to develop software

Preferred

• Active TS/SCI U.S. Government Security Clearance with Polygraph
• Experience with Gitlab, DevSecOps utilizing test-driven development, containers, (e.g. Docker, Docker Compose), cloud services (e.g. AWS), tools for distributed computing (e.g. Spark, Pyspark)
• Experience leading an interdisciplinary team of researchers and software developers
• Large Language Models and experience identifying ways to incorporate them into new domains and applications
• Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision
• Natural Language Processing algorithms such as BERT
• Reinforcement learning and familiarity with Gymnasium Gym, OpenEnv, TorchRL, RLlib, and Stable Baselines
• Applying clustering algorithms and/or deep neural networks to real life problems
• Implementing tracking and pattern-of-life algorithms
• Experience with GenAI Ops techniques (e.g. LLM-as-a-judge) and frameworks (e.g. LangFuse, MLFlow, Arize Phoenix)
• Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain
• Experience with Linux
• Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, Bedrock, etc
• Experience with any of the following additional languages: Java, C++, Rust, Go, and/or C#
• Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
• Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
• Experience shaping and writing proposals
• DevSecOps
• Test-Driven Development
• Containerization
• Docker
• Docker Compose
• Cloud Computing
• AWS
• Distributed Computing
• Apache Spark
• PySpark
• Large Language Models
• LLM Domain Integration
• Transformer Architectures
• Computer Vision
• Natural Language Processing
• BERT
• Reinforcement Learning
• Gymnasium
• OpenEnv
• TorchRL
• RLlib
• Stable Baselines
• Clustering Algorithms
• Deep Neural Networks
• Algorithm Implementation
• Tracking Algorithms
• Pattern-of-Life Algorithms
• GenAI Ops
• LLM-as-a-Judge
• LangFuse
• MLflow
• Arize Phoenix
• Machine Learning
• Hugging Face
• LangChain
• Linux
• Amazon EC2
• Amazon S3
• AWS Lambda
• Amazon Bedrock
• Java
• C++
• Rust
• Go
• C#
• GPU Programming
• CUDA
• CUDA Libraries
• Application Deployment
• Virtualization
• Podman
• Kubernetes
• Rancher
• Proposal Writing
• Interdisciplinary Team Leadership

Benefits

• Flexible time off benefit
• Access to robust learning resources
• Competitive compensation and benefits
• Learning and development opportunities
• Healthcare benefits
• Wellness benefits
• Financial benefits
• Retirement benefits
• Family support benefits
• Continuing education benefits
• Time off benefits

Company

• National security technology and expertise for government missions
• Reston, Virginia, USA
• https://www.caci.com/
• Founded in 1962
• 10001+ employees

Qualifications

• 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
• Active TS/SCI U.S. Government Security Clearance with Polygraph
• Experience with Gitlab, DevSecOps utilizing test-driven development, containers, (e.g. Docker, Docker Compose), cloud services (e.g. AWS), tools for distributed computing (e.g. Spark, Pyspark)
• Experience leading an interdisciplinary team of researchers and software developers
• Large Language Models and experience identifying ways to incorporate them into new domains and applications
• Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision
• Natural Language Processing algorithms such as BERT
• Reinforcement learning and familiarity with Gymnasium Gym, OpenEnv, TorchRL, RLlib, and Stable Baselines
• Applying clustering algorithms and/or deep neural networks to real life problems
• Implementing tracking and pattern-of-life algorithms
• Experience with GenAI Ops techniques (e.g. LLM-as-a-judge) and frameworks (e.g. LangFuse, MLFlow, Arize Phoenix)
• Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain
• Experience with Linux
• Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, Bedrock, etc
• Experience with any of the following additional languages: Java, C++, Rust, Go, and/or C#
• Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
• Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
• Experience shaping and writing proposals

Required skills

• Data Pipelines, Python, NumPy, Pandas, Polars, Git, Machine Learning, Artificial Intelligence, Large Language Models, Natural Language Processing, Docker

Preferred skills

• Natural Language Processing algorithms such as BERT, Implementing tracking and pattern-of-life algorithms, Experience with Linux, Experience shaping and writing proposals

Experience

• 3+ years