The Opportunity:

We are looking for an AI/ML Engineerlooking for new and challenging problems. You will support the development of AI/ML algorithms in a multitude of disciplines from large language models, natural language processing, and time-series predictive analytics.

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 datato 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

Qualifications:

Required:

• 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

Desired:

• 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

Experience with any of the following:

• 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. Revised: 10/23/24
• 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
  

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.

Since this position can be worked in more than one location, the range shown is the national average for the position.

The proposed salary range for this position is: