AI/ML Engineer

CACI International•Aurora, CO

21h

About The Position

This position is for an AI/ML Engineer looking for new challenging problems. You 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. Additionally, we have a team of excellent researchers and software developers who are eager to mentor. Our ideal candidate is an AI/ML engineer with experience working in research teams prototyping and developing AI/ML algorithms. This candidate will be joining our team of AI/ML engineers and researchers to apply cutting-edge AI/ML algorithms in a variety of domains to the mission needs of our customers.

Requirements

Effective communicator with the ability to write and present technical reports
Experience with Python and any of the following Python data science / machine learning libraries: Pandas, scikit-learn, TensorFlow, Keras, Pytorch
Experience with one or more of the following: Applying unsupervised and/or supervised machine learning techniques
Experience with one or more of the following: Applying and/or developing algorithms based in statistical analysis
Experience with one or more of the following: Analyzing large datasets and building models to perform inference
BS in machine learning, computer science, mathematics, or relevant fields
2+ years of experience developing AI/ML applications, data science, and/or algorithm development
Active TS/SCI with Poly U.S. Government Security Clearance

Nice To Haves

MS or PhD in machine learning, computer science, mathematics, or relevant fields
Experience leading an interdisciplinary team of researchers and software developers
Experience with any of the following AI/ML domains: Large Language Models and experience identifying ways to incorporate them into new areas and applications
Experience with any of the following AI/ML domains: Object detection algorithms such as YOLO and Faster-RCNN
Experience with any of the following AI/ML domains: Natural Language Processing algorithms such as Transformers and RNNs
Experience with any of the following AI/ML domains: Applying Transformer-based architectures to domains in other areas outside of NLP such as computer vision
Experience with any of the following AI/ML domains: Generative Adversarial Networks and Variational Autoencoders
Experience with any of the following AI/ML domains: Reinforcement learning and familiarity with OpenAI Gym, RLlib, and Stable Baselines
Experience with any of the following AI/ML domains: Applying clustering algorithms and/or deep neural networks to real life problems
Experience with any of the following AI/ML domains: Implementing tracking & fusion and pattern-of-life algorithms
Experience with Machine Learning libraries and frameworks such as Hugging Face and LangChain
Experience with Linux
Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
Experience with any of the following additional languages: C++, Java, and/or C#
Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
Experience with implementing tracking and fusion, and pattern-of-life algorithms
Experience in application deployment, virtualization, and containerization
Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.)
Experience shaping and writing proposals

Responsibilities

Working as part of a small team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers
Analyzing 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
Using cloud services to train and deploy ML models
Reviewing relevant publications to understand and apply cutting edge concepts to defense and commercial applications
Writing technical documentation supporting code, program capabilities, and user-guides

Benefits

A culture of integrity.
An environment of trust.
autonomy to take the time you need through a unique flexible time off benefit
access to robust learning resources
A focus on continuous growth.
competitive compensation
benefits
learning and development opportunities
broad and competitive mix of benefits options is designed to support and protect employees and their families
healthcare
wellness
financial
retirement
family support
continuing education
time off benefits