AI/ML Engineer

CACI International Inc.
Aurora, CO, United States
1 day ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$98,500.0 - $206,800.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Cloud Computing Configuration Management Software Documentation Nvidia CUDA Data Files Linux Python (Programming Language) Machine Learning
+29 more
Microsoft Software Language Modeling Natural Language Processing NumPy Object Detection OpenCV Software Deployment Virtualization Technology Reinforcement Learning Scripting Pytorch Delivery Pipeline Large Language Models Salesforce Lightning Deep Learning AWS Lambda Gitlab Git Containerization Scikit Learn Kubernetes Information Technology HuggingFace Rancher Bitbucket Functional Programming Software Version Control Docker Unsupervised Learning

Job description

  • Implement machine learning algorithms as part of a small interdisciplinary team
  • Analyze large multi-domain datasets including images, text, time series, and graph data
  • Review and apply cutting-edge research publications
  • Create technical documentation and user guides
  • Understand training and deployment pipelines including AWS services
  • Provide training and mentoring to team members

Requirements

This position is for a Senior AI/ML Engineer looking for new challenging problems. You should have experience working in research teams prototyping and developing AI/ML algorithms. You will support the development of AI/ML algorithms in a multitude of disciplines including object detection/classification, natural language processing, time series prediction/classification, reinforcement learning, and large language models., Required:

  • B.S. in machine learning, computer science, mathematics, or related field
  • 8+ years of AI/ML development experience
  • Proficiency with Python and ML libraries such as PyTorch, Lightning, OpenCV, NumPy, Polars
  • Experience with supervised and unsupervised learning
  • Experience with deep learning architectures
  • Experience contributing on a team using version control (e.g. git, GitLab, Bitbucket)
  • Willing to be submitted for a TS/SCI U.S. Government Security Clearance

Desired:

  • MS or PhD in relevant technical field
  • Experience leading interdisciplinary teams
  • Experience with LLMs, Transformers, YOLO, GANs, Reinforcement Learning
  • Experience with MCP, Microsoft Agent Framework, HuggingFace, LangChain, OpenCV
  • Linux and AWS experience
  • Experience with CUDA and Python libraries such as CuPy, Numba, CuSignal, CuDF, etc.
  • Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
  • Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
  • Active TS/SCI U.S. Government Security Clearance with recent Polygraph, AWS Lambda, Algorithms, Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), CUDA (Compute Unified Device Architecture), Cloud Computing, Computer Science, Data Sets, Deep Learning, Federal Contracts, Federal Government, Git, Government Contracts, Leadership, Linux Operating System, MCP - Microsoft Certified Professional, Machine Learning, Mathematics, Mentoring, Microsoft Agent, Modeling Languages, Natural Language Processing (NLP), Prototyping, Publications, Python Programming/Scripting Language, Reinforcement Learning, Safety/Work Safety, Security Clearance, Sensitive Compartmented Information (SCI), Source Code/Configuration Management (SCM), Team Lead/Manager, Team Player, Technical Writing, Top Secret Clearance, Training/Teaching, User Documentation, Willing to Travel

Benefits & conditions

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: $98,500-$206,800

About the company

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., CACI provides information solutions and services in support of national security missions and government transformation for Intelligence, Defense, and Federal Civilian customers. A member of the Fortune 1000 Largest Companies, the Russell 2000 Index, and the S&P SmallCap 600 Index, CACI provides dynamic careers for over 15,800 employees working in over 120 offices worldwide. Visit www.caci.com.

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