CACI International Machine Learning Ops Engineer (MLOps) (Up to 25% Profit Sharing) in Denver, Colorado
Machine Learning Ops Engineer (MLOps) (Up to 25% Profit Sharing)
Job Category: Science
Time Type: Full time
Minimum Clearance Required to Start: None
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Local
CACI's Analytics Solution's Internal Research and Development (IRAD) group is seeking a Machine Learning Operations Engineer (ML Ops Engineer) to work in our research and development lab in Denver, CO.
Our IRAD team researches and develops innovative software based solutions that support multiple sectors that include Defense, National Security, Intelligence, and others. If you enjoy solving complex technical challenges, developing new and innovative software that has applications in AI, Machine Learning, Deep Learning, and Reinforcement Learning analytics - among other areas, this may be the opportunity for you.
Eligibility : Candidates must be US Citizens as the position may require obtaining a U.S. Security clearance
As a Machine Learning Operations Engineer (ML Ops Engineer) on the AI Research Team, you will be working closely with Agile development teams and Data Scientists to operationalize state-of-the-art machine learning models. You will be responsible for developing processes, techniques, and tools to monitor and retrain Deep Learning models, optimize system performance, and guide development teams in improving the system model management. You will be a key member of the team, gaining important insights, and doing work that matters for some of the U.S. Government’s most critical missions, and utilizing the latest technologies in Cloud Computing, AI/ML, and SecDevOps.
You’ll Bring These Qualifications
5+ years of combined experience
Experience with GitLab, BitBucket, GitHub Enterprise or similar source repository
Understanding of all stages of the Software Development Life Cycle
Experience with algorithm deployment on GPUs to speed data Model Training and Inference
Experience with Kubernetes and Docker
Experience with Pytorch and Tensorflow
Experience with Data Science Tools in an AWS Environment or similar cloud platform
Experience deploying to and managing models within operational environments
Extensive knowledge of python
Knowledge of Machine Learning techniques, including Deep Learning
Experience with the full machine learning lifecycle from model training to deployment
Experience in statistics and data mining techniques
Proficiency in the optimization and deployment of AI/ML algorithms, both on-prem and on the cloud
These Qualifications Would Be Nice to Have
Masters or greater in Computer Science, Data Science, or related field
Experience with Cloud Computing and Hybrid On-Prem solutions
Experience with SeldonCore, Kubeflow, Sagemaker, or related technologies
Experience with GPUs to speed data Model Training and Inference
Experience with CUDA optimization
Experience optimizing models for fast inference using tools such as TensorRT
With over 25,000 employees, we’ve been named a Best Place to Work by the Washington Post.
Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives.
We offer competitive benefits and learning and development opportunities.
We are mission-oriented and ever vigilant in aligning our solutions with the nation’s highest priorities.
For over 55 years, the principles of CACI’s unique, character-based culture have been the driving force behind our success.
Company Overview: At CACI, you will have the opportunity to make an immediate impact by providing information solutions and services in support of national security missions and government transformation for Intelligence, Defense, and Federal Civilian customers. CACI is an Equal Opportunity Employer – Females/Minorities/Protected Veterans/Individuals with Disabilities.
Pay Range: The proposed salary range for this position is $86,200-$176,600. There are a host of factors that can influence final salary including, but not limited to, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, geographic location, 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. Employment benefits include health and wellness programs, income protection, paid leave and retirement and savings.
As a federal contractor, CACI is subject to any federal vaccine mandates or other customer vaccination requirements. All new hires are required to report their vaccination status.