Machine Learning Developer

Machine Learning Developer

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 of industry-leading individuals supporting the best practices in 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 Nation's safety, security, and prosperity. CBP Officers and Border Patrol agents are on the front lines, every day, protecting our national security by combining customs, immigration, border security, and agricultural protection into one coordinated and supportive activity.

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

What You'll Get To Do :

The Machine Learning Developer will work on the development and deployment of machine learning models for the ITI2.1 border applications. The individual will manage and use data to train the predictive model, infer and recommend business intelligence decisions, conduct root cause analysis, support IoT device signal analytics, and conduct trend analysis. The candidate is expected to know how to solve complex big data problems, work with algorithms, analyze big data and can run end-to-end data analytical process.

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.

You Have :

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 and

Strong understanding of neural networks and Deep learning algorithms, including but not limited to MLP, CNN, SGD, GANs, LSTMs and RNNs.

Understand the statical 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

Bonus Would Be Having :

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

What You Can Expect :

A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose to ensure the safety of our nation.

An environment of trust