Machine Learning Developer

Overview

CACI is currently looking for a motivated, career and customer-oriented Senior level of Machine Learning (ML) Developer with Agile methodology experience to join our Customs and Border Protection (CBP) Land Border Integration (LBI) Integrated Traveler Initiative 2.1 (ITI2.1) team in Northern Virginia. Join this passionate team supporting Agile Software Development and hardware integration for the Department of Homeland Security (DHS).

As a member of the ITI2.1 Team, you will support the men and women charged with safeguarding the American people and enhancing the Nations safety, security, and prosperity. CBP Officers and Border Patrol agents protect national security by combining customs, immigration, border security, and agricultural protection into one coordinated activity.

CACI agile programs thrive in a culture of innovation and seek individuals who can bring creative ideas to solve complex problems, both technical and procedural at the team and portfolio levels. Adaptability and the ability to work constructively with a technically diverse and geographically separated team are crucial.

What youll get to do

The ML Developer will work on the development and deployment of machine learning models for the ITI2.1 border applications. The role includes managing and using data to train predictive models, inferring and recommending business intelligence decisions, conducting root cause analysis, supporting IoT device signal analytics, and performing trend analysis. The candidate should be able to solve complex big data problems, work with algorithms, analyze big data, and run end-to-end data analytics processes.

• Develop an understanding of the customers data environment through data profiling, data pipelines, and machine learning / statistical analyses
• Deliver ML software models and components that solve real-world business problems, collaborating with Product and Data Science teams
• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployments
• Collaborate as part of a cross-functional Agile team to create and enhance software for state-of-the-art, next generation big data and ML applications
• Leverage cloud-based architectures to deliver optimized ML models at scale
• Construct optimized data pipelines to feed ML models
• Use programming languages like Python, Scala, or Java
• Leverage CI / CD best practices, including test automation and monitoring, to ensure successful deployments of ML models and application code
• Advocate for software and ML engineering best practices
• Function as the engineering tech lead for large-scale initiatives
• Perform statistical analysis and tune models using test results
• Study appropriate datasets and transform data science prototypes
• Research and implement ML algorithms and tools and develop ML applications according to requirements
• Train data-driven learning models
• Maintain and work with data pipelines that process large-scale heterogeneous data using Spark, Scala, Python, Apache Kafka, TensorFlow, PyTorch, and other data analytics tools
• Design, build and support pipelines of data transformation, conversion, and validation
• Build data manipulation, processing, and data visualization tools for 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 from experimental design to actionable 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 to accelerate and automate data science duties

You have

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What You Can Expect :

A culture of integrity and an environment of trust. At CACI, we place character and innovation at the center of everything we do and offer autonomy with flexible time off and learning resources.

Pay Range : The proposed salary range for this position is $103,800 - $218,100. EEO statement : CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, veteran status, or any other protected characteristic.

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