Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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Caci, Inc. - Federal has filed one layoff notice in the last twelve months, covering 75 workers, most recently June 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings

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About the job

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

The Opportunity:

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.

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

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

What You Can Expect:

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.

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: $69,100-$141,500

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.