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Upper Merion Township, Pennsylvania, United States
Onsite
Not Available
The Opportunity:
This position is for an AI/ML Engineering Co-op in King of Prussia, PA. You will get to work closely with our team of excellent software developers who are eager to mentor and teach their craft and have the opportunity to work with members of our Leadership team to learn about other areas of interest to you!
Responsibilities:
• Working with a diverse team to research and develop AI/ML models
• Working on an AI/ML program that will be:
• Exploring advanced Retrieval Augmentation Generation (RAG) techniques
• Exploring various text embedding models and techniques
• Fine tuning embedding models
• Building a Model Context Protocol (MCP) server
• Exploring synthetic data generation techniques
• Regular meetings with mentor(s)
Qualifications:
Required:
• Proficiency with any one of the following languages: Java, Python, C++, etc.
• Familiar with at least one unsupervised, and one supervised machine learning technique
• Proficiency in data science and data analysis
• Great communication skills
• Currently enrolled in a degree program at an accredited university
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Desired:
• Experience training and developing machine learning models
• Experience with Large Language Models (LLM), vector databases (e.g. ChromaDB, Weaviate)
• Experience using Agentic coding assistants
• Experience with Pytorch, Tensorflow, and/or Keras Experience with Cloud infrastructures – AWS or C2S preferred
• Experience working within an Agile framework for feature development
• Experience with Containerization – Docker preferred
• Experience developing performant algorithms in various domains
EHS/Environmental Requirements:
This job operates in a professional office environment. While performing the duties of this job, the employee routinely is required to use hands to keyboard, communicate, listen to, and interpret instructions and remain stationary for extended periods of the time. This would require the ability to move around the campus and occasionally move/lift items weighing up to 25 lbs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.
Pre-employment Screenings:
Employment is contingent upon satisfactory completion of several pre-employment requirements to include a credit check, background check, and drug screen.
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.
The proposed salary range for this position is:
$53,100 - 106,300 USD