Staff Data Engineer/Scientist

The Opportunity:

We are looking for a Staff Data Engineer/Scientist looking for new 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. Additionally, we have a team of excellent researchers and software developers who are eager to mentor and teach their craft.

Responsibilities:

Lead and mentor an interdisciplinary 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.

• Assembles large, complex sets of data to support AI/ML algorithm implementation
• Builds 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
• Identifies, designs, and implements internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
• Using Agile methodologies to develop software.

Qualifications:

Required:

• B.S. in data science, AI/ML, computer science, or related field
• Minimum six (6) years of relevant experience as a Data Engineer/Scientist.
• Experience developing data pipelines and normalizing data with canonical Python packages (e.g. Num Py, Pandas, Polars)
• Experience contributing on a team using version control (e.g. git, Git Lab, Bitbucket)
• Active TS/SCI U.S. Government Security Clearance with a recent Full-Scope Polygraph (FSP)

Desired:

• M.S. or PhD in data science, AI/ML, computer science, or related field
• Experience with Gitlab, Dev Sec Ops 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, Open Env, Torch RL, 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. Lang Fuse, MLFlow, Arize Phoenix)
• Experience with Machine Learning libraries and frameworks such as Hugging Face and Lang Chain
• 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…