CACI bv · 4 months ago
Machine Learning Developer
Sterling, VA
Full-time
Onsite
Senior Level
$104K/yr - $218K/yr
7+ years expCACI is currently looking for a motivated, career and customer-oriented Senior level of Machine Learning Developer to join their Customs and Border Protection team in Northern Virginia. The role involves developing and deploying machine learning models to support border applications and enhance national security efforts.
ConsultingEducationTraining
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Develop an understanding of the customer’s data environment through data profiling, data pipeline, and machine learning/statistical analyses
Deliver ML software models and components that solve real-world business problems, while working in collaboration with our Product and Data Science teams
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art, next generation big data and machine learning applications
Leverage cloud-based architectures and technologies to deliver optimized ML models at scale
Construct optimized data pipelines to feed ML models
Use programming languages like Python, Scala, or Java
Leverage Continuous Integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployments of ML models and application code
Advocate for software and machine learning engineering best practices
Function as the engineering tech lead for large-scale initiatives
Perform statistical analysis and tune using test results
Study appropriate datasets and transform data science prototypes
Research and implement appropriate machine learning algorithms and tools and develop machine learning applications according to requirements
Train data-driven learning model
Maintain and work with data pipeline that transfers and processes large scale of heterogenous structural/non-structural data using Spark, Scala, Python, Apache Kafka, TensorFlow, PyTorch, and/or other data analytic tools
Design, build and support pipelines of data transformation, conversion, validation
Build data manipulation, processing, and data visualization tools and share these tools across the team
Apply data analysis, data mining and data engineering to present data clearly and develop experiments
Ensure high-quality data and understand how data is generated out experimental design and how these experiments can produce actionable, trustworthy conclusions
Assist senior management in making key business decisions
Mentor junior ML engineering talent
Work with development teams to build tools for data logging and repeatable data tasks that will accelerate and automate data scientist duties
Qualification
Required
Must be a U.S. Citizen with the ability to pass CBP background investigation, criteria includes, but not limited to: 3-year check for felony convictions, 1-year check for illegal drug use, 1-year check for misconduct such as theft or fraud
Bachelor's degree in computer science, electrical engineering, mathematics, or a similar field and 7 years of related experience
Experience of developing performant, resilient, and maintainable code
Experience with data gathering and preparation for ML models
Possess on-the-job experience with an industry recognized ML framework such as Pandas, scikit-learn, PyTorch, Dask, Spark, or TensorFlow Keras and ability to write robust code in Python, Java
Strong understanding of neural networks and Deep learning algorithms, including but not limited to MLP, CNN, SGD, GANs, LSTMs and RNNs
Understand the statistical learning and Bayesian methods
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
Experience building production-ready data pipelines that feed ML models
Proven experience as a Machine Learning Engineer or similar role
Experiences of neural networks, Deep Learning and Computer vision algorithms for object detection, feature engineering, and hyperparameter tuning
Understanding of data structures, data modeling and software architecture
Deep knowledge of math, probability, statistics, and algorithms
Outstanding analytical and problem-solving skills
Experience with developing predictive models for using large data sets for high transactional volume environment
Knowledge of Bayesian Inference and modeling, Probabilistic learning, kernel method, and time series analysis
Experience with evaluating and measuring performance of models
Strong algorithmic problem-solving skills. Experience with statistics, modeling and machine learning techniques Statistics including but limited to hypothesis testing, regression, clustering, classification, and optimization
Ability to understand and analyze data models – how the data is stored in relational databases
Ability to understand system integration aspects of integrating model input and output in transactional systems to help real time decision making
Good understanding software application architecture and develop integration approaches for predictive models
Strong organization and time management skills – prior experience in leading a small team is preferred
Preferred
Practical experience applying state-of-the-art ML techniques to signal/image processing, computer vision, object recognition, biometrics, and sensing applications
Know MLOps concept
Know OpenCV
Proven ML industry impact through conference presentations, papers, blog posts, open-source contributions, or patents
Strong fundamentals in problem solving and algorithm design
Strong problem-solving skill and research capabilities
Working knowledge of the CBP Port of Entry systems and/or their operational requirements
Experience automating business processes using RPA technologies
Benefits
Flexible time off benefit
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