Principal AIML Engineer (Large Language Model)

The Opportunity:
The Principal AI/ML Engineer will support the development of AI/ML algorithms in a multitude of disciplines from object detection/classification natural language processing reinforcement learning and large language models.

Responsibilities:

• Lead and mentor a multidisciplined team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers
• Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as tasking collections identifying gaps in collection plans analyzing patterns of life and more.
• Fine tune foundation models and building adaptors for new applications (llama factory PEFT)
• Apply retrieval augmented generation (RAG) techniques to data to populate and query vector databases (e.g. Weaviate)
• Build custom applications with LLM frameworks such as LangChain DSPy
• Deploy LLM solutions across cloud-based and local resources using kubernetes ( vllm etc)
• Analyze large multi-domain datasets such as images text and/or graph data to identify statistically relevant features to build models that provide analysts with actionable data
• Review relevant publications to understand and apply cutting edge concepts to defense and commercial applications
• Interface with both internal and external leadership to communicate technical status

Qualifications:
Required:

• Active TS/SCI Clearance
• BS in machine learning computer science mathematics or related fields.
• 10 years of experience preferably in software development or as a data scientist with 2 years of building LLM applications using some of the following:
  • Fine-tuning foundational models
    • Steering Techniques (e.g Sparse auto encoders representation tuning)
    • Building adapters to use foundational models (e.g. PEFT llama factory)
  • Prompt engineering techniques / Inference time techniques (e.g. chain of thought tree of thoughts etc.)
  • Using Retrieval Augmented Generation techniques to populate and query vector databases (e.g. Weaviate pinecone)
  • Using LLM Frameworks (e.g. LangChain DSPy)
  • Using AI APIs ( e.g AWS Bedrock OpenAI)
  • Using LLM deployment frameworks (eg vllm tgi)
  • Developing UIs with ReAct
• Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers
• Experience with Python and data science / machine learning libraries (e.g. PyTorch TensorFlow Keras OpenCV NumPy Pandas Polars scikit-learn etc.

Desired:

• MS or PhD in machine learning computer science mathematics or related fields.
• Experience leading an interdisciplinary team of researchers and software developers
• Experience with any of the following Computer Vision domains:
  • Large Language Models and experience identifying ways to incorporate them into new areas and applications
  • Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision
  • Object detection algorithms such as YOLO and Faster-RCNN
  • Natural Language Processing algorithms such as BERT
  • Generative Adversarial Networks and Variational Autoencoders
  • Reinforcement learning and familiarity with Gymnasium Gym 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 Machine Learning libraries and frameworks such as HuggingFace and LangChain
• Experience with Computer Vision libraries such as OpenCV Nerfstudio FiftyOne etc.
• Experience with Linux
• Familiarity with using AWS cloud computing resources such as EC2 S3 Lambda 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 with implementing tracking and pattern-of-life algorithms
• Experience in application deployment virtualization and containerization (e.g. Podman Docker Kubernetes Rancher)
• Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images passive RF etc.)
• 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 youll be part of a high-performing group dedicated to our customers 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. Youll 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 nations 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:

CACI is anEqualOpportunity 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 otherprotectedcharacteristic.