AI/ML Engineer

CACI•Aurora, PA

5d•Onsite

About The Position

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. 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.

Requirements

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

Nice To Haves

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 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.
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

Responsibilities

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