AI​/ML Engineer

Job Title:

AI/ML Engineer Job Category:
Science Time Type:
Full time Minimum Clearance Required to Start: TS/SCI Employee Type:
Regular Percentage of

Travel Required:

Up to 10%
Type of Travel:
Continental US Anticipated Posting End: 1/1/2027

We are looking for an AI/ML Engineer looking 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.

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

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. Num Py, Pandas, Polars)
• Experience contributing within a team setting using version control (e.g. git, Git Lab, Bitbucket)
• Active TS/SCI U.S. Government Security Clearance

Desired:

• Active TS/SCI U.S. Government Security Clearance with Polygraph Experience with Gitlab, Dev Sec Ops  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, Open Env, 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. Lang Fuse, MLFlow, Arize Phoenix)
• Experience with Machine Learning libraries and frameworks such as Hugging Face and Lang Chain
• 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

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.

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…