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CACI International Inc · 4 months ago

Data Engineer/Machine Learning Developer

US VA Sterling

Full-time

Onsite

Mid, Senior Level

$87K/yr - $182K/yr

5+ years exp

CACI International Inc is currently looking for a motivated, career and customer-oriented Mid-level Data Engineer and Machine Learning Developer to join their Customs and Border Protection team in Northern Virginia. The role involves designing, developing, and deploying machine learning algorithms, collaborating with data teams, and solving complex big data problems to enhance national security efforts.

Information TechnologyService IndustrySoftware

Comp. & Benefits

No H1B

Security Clearance Required

U.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

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

Work with development teams to build tools for data logging and repeatable data tasks that will accelerate and automate process

Qualification

Machine LearningData EngineeringCloud ComputingPythonAgile MethodologyData PipelineStatistical AnalysisBig DataProblem SolvingCommunication SkillsTeam CollaborationTime Management

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

Applicable combination of education and experience: Data Engineer/Machine Learning Developer T3 - Bachelor's Degree in computer science, electrical engineering, mathematics, or a similar field and 5+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow, and applications related to data gathering and preparation for ML models and building production-ready data pipelines that feed ML models

Data Engineer/Machine Learning Developer T4 - Bachelor's Degree in computer science, electrical engineering, mathematics, or a similar field and 7+ years of on-the-job experience with 5+ years data gathering and preparation for ML models

Proven previous experience as a Machine Learning Engineer or similar role

Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform

Familiarity with machine learning frameworks (like Keras or PyTorch, or TensorFlow) and libraries (like Pandas or scikit-learn) and ability to write robust code in Python, Java and R

Proven ML industry impact through conference presentations, papers, blog posts, open-source contributions, or patents

Essential knowledge 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

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

Possess the ability to perform with little direct supervision as a self-starter. Be a self-motivated, creative, and inquisitive problem solver with a strong work ethic and data integrity

Have effective oral and verbal, visual and written communication skills

Ability to work effectively in a high energy and a very rapid dynamic environment and interact effectively with team members, senior managers, and clients

Preferred

Strong organization and time management skills – prior experience in leading a small team is preferred

Working knowledge of the CBP Port of Entry systems and/or their operational requirements

Experience automating business processes using RPA technologies

Benefits

Healthcare

Wellness

Financial

Retirement

Family support

Continuing education

Time off benefits

Company

CACI International Inc

Glassdoor4.0

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.

Founded in 1962

Arlington, Virginia, USA

10001+ employees