AI/ML Engineer

Posted 8 Days Ago
2 Locations
In-Office
69K-142K Annually
Mid level
Information Technology • Consulting • Defense
The Role
Develop AI/ML algorithms and ETL infrastructure for LLM, NLP, and time-series solutions. Build scalable data pipelines, curate evaluation datasets, implement machine learning models, optimize data delivery, automate processes, and develop software using Agile methodologies. The role collaborates with researchers and developers and may involve cloud services, distributed computing, containerization, GenAI operations, reinforcement learning, and GPU-based algorithm implementation.
Summary Generated by Built In
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.

Skills Required

  • Bachelor of Science degree in Data Science, AI/ML, Computer Science, or a related field
  • 3 or more years of experience, preferably in data engineering, data science, machine learning engineering, or software development
  • Experience developing data pipelines and normalizing data using Python packages such as NumPy, Pandas, or Polars
  • Experience collaborating in a team environment using version control such as Git, GitLab, or Bitbucket
  • Active TS/SCI U.S. Government security clearance
  • Experience with GitLab and DevSecOps using test-driven development
  • Experience with containers such as Docker or Docker Compose
  • Experience with cloud services such as AWS
  • Experience with distributed computing tools such as Spark or PySpark
  • Experience leading an interdisciplinary team of researchers and software developers
  • Experience with large language models and incorporating them into new domains and applications
  • Experience applying Transformer-based architectures outside natural language processing, including computer vision
  • Experience with NLP algorithms such as BERT
  • Experience with reinforcement learning and tools including Gymnasium Gym, OpenEnv, TorchRL, RLlib, or Stable Baselines
  • Experience applying clustering algorithms or deep neural networks to real-world problems
  • Experience implementing tracking and pattern-of-life algorithms
  • Experience with GenAI Ops techniques and frameworks such as LLM-as-a-judge, LangFuse, MLflow, or Arize Phoenix
  • Experience with machine learning libraries and frameworks such as Hugging Face or LangChain
  • Experience with Linux
  • Familiarity with AWS services including EC2, S3, Lambda, or Bedrock
  • Experience with Java, C++, Rust, Go, or C#
  • Experience implementing GPU algorithms using Python or C++ with CUDA and CUDA libraries
  • Experience with application deployment, virtualization, and containerization using Podman, Docker, Kubernetes, or Rancher
  • Experience shaping and writing proposals

CACI International Inc Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CACI International Inc and has not been reviewed or approved by CACI International Inc.

  • Healthcare Strength — Pay is supported by a broad set of health-plan options across multiple national carriers, with telemedicine and tax-advantaged accounts included. Dental and vision choices are also described as multi-option, which strengthens overall coverage breadth.
  • Leave & Time Off Breadth — Flexible Time Off is available for many salaried-exempt roles, while hourly roles accrue PTO, creating multiple time-off pathways by employment class. Paid disability coverage, fixed holidays, and paid leave programs (including parental leave and other leave types) further round out time-off and leave coverage.
  • Retirement Support — Retirement support includes a 401(k) match structure described as 50% up to 8% of pay (effective 4%) and an Employee Stock Purchase Plan with a discount. Tuition reimbursement and certification support also add to the overall rewards package that complements core retirement benefits.

CACI International Inc Insights

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The Company
HQ: Reston, VA
17,673 Employees
Year Founded: 1962

What We Do

CACI’s approximately 23,000 talented employees are vigilant in providing the unique expertise and distinctive technology that address our customers’ greatest enterprise and mission challenges. Our culture of good character, innovation, and excellence drives our success and earns us recognition as a Fortune World's Most Admired Company. As a member of the Fortune 1000 Largest Companies, the Russell 1000 Index, and the S&P MidCap 400 Index, we consistently deliver strong shareholder value. Visit us at www.caci.com.

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