Artificial Intelligence/Machine Learning Engineer Level 2

CyberPoint International
Columbia, MD, United States
14 days ago
Apply on www.disabledperson.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

C (Programming Language) Java (Programming Language) Artificial Intelligence Information Engineering Data Integrity Data Structures Monitoring of Systems Python (Programming Language) Machine Learning Software Architecture Tensorflow Verification and Validation (Software)
+9 more
Systems Integration Pytorch Deep Learning Model Validation Knowledge Representation Information Technology Software Library Data Selection Programming Languages

Job description

As an Artificial Intelligence/Machine Learning (AI/ML) Engineer at CyberPoint, you will design, develop, test and operationalize AI/ML algorithms and models to solve complex technical and mission requirements. You will work across the machine learning lifecycle, including data selection and analysis, model development, testing and evaluation, deployment, monitoring and continuous improvement.

The ideal candidate has hands-on experience developing and productizing machine learning solutions and understands how to translate data science prototypes into scalable, production-ready systems. You will work closely with technical teams and stakeholders to develop solutions that meet customer requirements and deliver reliable, high-performance results.

When you become a part of CyberPoint you are joining a dynamic, diverse, fast-growing company that welcomes creative thought and ambition. We’re committed to creating an environment where each employee can thrive.

What You’ll Do

  • Design, develop, test and operationalize AI/ML algorithms and models to address customer and mission requirements.
  • Select and prepare appropriate datasets for machine learning applications.
  • Perform statistical analysis and interpret data to support model development and optimixation.
  • Run, evaluate, train and retrain machine learning algorithms as needed.
  • Apply machine learning libraries, packages and frameworks such as PyTorch and TensorFlow.
  • Monitor model performance and use analytical results and user or system feedback to improve models.
  • Research and implement a broad range of AI/ML algorithms, tools and techniques.
  • Design or select appropriate data and knowledge representation methods.
  • Apply principles of software architecture, data modeling and data structures to AI/ML solutions.
  • Support the integration of AI/ML solutions into larger technical environments.
  • Provide system integration oversight for AI/ML capabilities.
  • Conduct testing and evaluation of AI/ML algorithms through iterative design processes.
  • Support verification and validation activities to ensure solutions meet established requirements.
  • Verify data integrity and model output quality.
  • Identify differences in data distributions that may affect model performance.
  • Document technical approaches, results and recommendations.
  • Collaborate with technical teams and stakeholders to develop and implement AI/ML solutions.
  • Communicate technical concepts and findings clearly to technical and non-technical audiences.

Requirements

What You’ll Need

  • US Citizenship
  • Active TS/SCI + Full Scope Polygraph
  • Minimum of 5 years of experience in applied machine learning on programs or contracts of similar scope, type and complexity.
  • Master’s or Ph.D. degree from an accredited college or university in Advanced Mathematics, Artificial Intelligence, Data Science, Computer Science, Deep Learning or a related discipline.
  • A relevant bachelor’s degree plus 5 additional years of machine learning experience may be substituted for a Master’s Degree.
  • Experience working with machine learning libraries and packages.
  • Experience with standard machine learning frameworks such as PyTorch or TensorFlow.
  • Experience with machine learning algorithm development, statistical analysis, model evaluation and optimization.
  • Knowledge of software architecture, data modeling, data structures and data engineering concepts.
  • Strong analytical, problem-solving and communication skills.

What Will Set You Apart

  • Expert knowledge of multiple programming languages such as Python, Java, C or R
  • Experience developing scalable machine learning solutions for production environments.
  • Experience with model monitoring, scheduling and continuous performance improvement.

About the company

Great people are the foundation of any great company. To attract and retain great people, CyberPoint offers fulfilling work that we like to balance with the rest of life. We accomplish this by offering outstanding benefits that allow each of our employees to live and work well. To learn more, https://www.cyberpointllc.com/benefits.php.

Be a part of CyberPoint. Be valued.

We are an inclusive community in which all types of diversity are embraced, respected and seen as true value for the company. We are committed to cultivating this community, but we realize there is still more work to do. CyberPoint will continue to evolve into a more inclusive and equitable company and is fully committed to the principles of equal employment opportunity and affirmative action.

CyberPoint is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of gender, gender identity or expression, sexual orientation, race, age, religion, physical or mental disability, veterans’ status or other federal, state and local protected characteristics.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.disabledperson.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · World Congress 2023

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

1:25 min

Distinguishing artificial intelligence from deep learning

Sam Witteveen · Coffee With Developers

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

1:06 min

Compiling PyTorch environments for advanced time forecasting

Christoph Lohrmann Christoph Lohrmann +1 · World Congress 2026 Europe

2:17 min

Distinguishing between AI, machine learning, and deep learning

Mary Grygleski Mary Grygleski · LIVE

Videos

See all

Related articles

See all