[Remote] Senior Data Scientist / AI Machine Learning Research Engineer
Note: The job is a remote job and is open to candidates in USA. CACI International Inc is seeking a Senior AI and Machine Learning Research Engineer. In this role, you will apply machine learning and statistics to develop algorithms that solve complex challenges in the RF domain, leveraging your expertise in data science and signal processing.
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
Skills
• Master's degree in quantitative field with mathematical underpinnings and at least 5 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 with the ability to obtain SCI with Polygraph
• 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 Overview
• At CACI International Inc (NYSE: CACI), our 25,000 talented and dynamic employees are ever vigilant in delivering distinctive expertise and technology to meet our customers’ greatest challenges in national security. It was founded in 1962, and is headquartered in Arlington, Virginia, USA, with a workforce of 10001+ employees. Its website is https://www.caci.com.
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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
Skills
• Master's degree in quantitative field with mathematical underpinnings and at least 5 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 with the ability to obtain SCI with Polygraph
• 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 Overview
• At CACI International Inc (NYSE: CACI), our 25,000 talented and dynamic employees are ever vigilant in delivering distinctive expertise and technology to meet our customers’ greatest challenges in national security. It was founded in 1962, and is headquartered in Arlington, Virginia, USA, with a workforce of 10001+ employees. Its website is https://www.caci.com.
Apply tot his job
Apply To this Job