Job description

Overview What We’re Looking For 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 optimization. • 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. This position is 100% onsite and requires an active TS/SCI+FSP Security Clearance . Qualifications 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. Our Culture Great People, Exceptional Benefits 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, cyberpointllc.com . 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. As a federal contractor, CyberPoint has established affirmative action programs to ensure non-discrimination and affirmative action in CyberPoint's policies and practices for qualified women, minorities, protected veterans, and individuals with disabilities. The narrative portion of CyberPoint's affirmative action plans are available for inspection at our offices during normal business hours. Employees and applicants interested in inspecting these plans should contact Human Resources by phone 410-779-6700 or by email at hr@cyberpointllc.com for assistance. If you are interested in applying for employment with CyberPoint and need special assistance or an accommodation to apply for a posted position, contact our Human Resources department by email at hr@cyberpointllc.com or by calling 410-779-6700.

Requirements

Must-haves

What We’re Looking For
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.
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 optimization.
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.
This position is 100% onsite and requires an active TS/SCI+FSP Security Clearance .
What You’ll Need
US Citizenship
Active TS/SCI + Full Scope Polygraph

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaimlpythonjavarest

Platform: bullhorn
Effort: medium