CACI bv · 1 month ago
Data Scientist / Senior AI Machine Learning Research Engineer
Austin, TX
Full-time
Onsite
Mid, Senior Level
$98K/yr - $207K/yr
4+ years expCACI has an exciting new opportunity for a Senior AI and Machine Learning Research Engineer. In this role, you'll leverage your strong foundation in machine learning, data science, and signal processing to solve complex challenges in the RF domain.
ConsultingEducationTraining
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Strong mathematical foundation in statistics, linear algebra, and calculus with demonstrated ability to understand and implement machine learning algorithms from first principles rather than solely relying on pre-built libraries
Proficiency in designing and building data pipelines, including experience with ETL processes, data warehousing solutions, and optimizing workflows for large-scale data processing
Hands-on experience with cloud-based infrastructure (e.g., AWS, Azure, GCP) for deploying ML solutions, including containerization, orchestration, and CI/CD pipelines for model deployment
Programming expertise in Python and SQL, with experience using data engineering frameworks (e.g., Spark, Airflow) and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
Demonstrated experience in establishing ML governance practices, including version control for datasets and models, experiment tracking, model monitoring, and implementing reproducible research principles
Qualification
Required
Master's degree in quantitative field with mathematical underpinnings and at least 4 years' experience
Experience developing models
Strong background in machine learning, mathematics and statistics
Comfortable using Linux operating systems and commonly used Linux utilities
Must be a US Citizen with the ability to obtain, maintain and/or transfer the required security clearance as dictated by the contract
Must have active Top Secret Clearance
Strong mathematical foundation in statistics, linear algebra, and calculus with demonstrated ability to understand and implement machine learning algorithms from first principles rather than solely relying on pre-built libraries
Proficiency in designing and building data pipelines, including experience with ETL processes, data warehousing solutions, and optimizing workflows for large-scale data processing
Hands-on experience with cloud-based infrastructure (e.g., AWS, Azure, GCP) for deploying ML solutions, including containerization, orchestration, and CI/CD pipelines for model deployment
Programming expertise in Python and SQL, with experience using data engineering frameworks (e.g., Spark, Airflow) and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
Demonstrated experience in establishing ML governance practices, including version control for datasets and models, experiment tracking, model monitoring, and implementing reproducible research principles
Preferred
Ph.D. in computer science, computer engineering, or machine learning, Statistics, applied mathematics or Physics
Experience applying machine learning to signal processing and/or other time-series data analysis applications
Knowledge of or experience with information theory, probability theory, parametric and non-parametric statistical tests
Familiarity with concepts and techniques associated with adversarial AI and AI/ML assurance
Active Top Secret/SCI clearance preferred
Benefits
Healthcare
Wellness
Financial
Retirement
Family support
Continuing education
Time off benefits
Company
CACI bv
CACI levert, implementeert en beheert bedrijfskritische oplossingen voor het Hoger Onderwijs: het StudentInformatieSysteem OSIRIS en LISA voor zaakgericht werken.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase