
Senior AI/ML Engineer
CACI · King of Prussia, PA, US · Aurora, CO, US · Onsite
- Aerospace & Defense
- 10,001+ employees
- Reston, Virginia
Strong hiring record · median 26 days open
Hiring signal
Actively hiring
Still listed on the employer's own board · publishes a salary range · How we score
All reasons
In its favour
- Still listed on the employer's own board
- Publishes a salary range
Job Title
Senior 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 a Senior 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
- 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
Desired
- M.S. or PhD in Data Science, AI/ML, Computer Science, or related field
- 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.
- 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
$82,100-$172,400
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.
Skills
- LLM
- ETL
- Machine Learning
- Python
- NumPy
- Pandas
- Git
- GitLab
- Bitbucket
- Docker
- Docker Compose
- AWS
- Spark
- PySpark
- NLP
- Computer Vision
- Generative AI
- Langfuse
- MLflow
- Phoenix
- Hugging Face
- LangChain
- Linux
- EC2
- S3
- AWS Lambda
- Bedrock
- Java
- C++
- Rust
- Go
- C#
- CUDA
- Podman
- Kubernetes
- Rancher
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