Machine Learning Engineer Capgemini Government Solutions LLC
Washington, DC30+ days ago
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Skills
- Algorithmsunmatched
- Analysis Skillsunmatched
- Artificial Intelligence (AI)unmatched
- C Programming Languageunmatched
- Communication Skillsunmatched
- Computer Scienceunmatched
- Data Modelingunmatched
- Data Scienceunmatched
- Data Setsunmatched
- Data Structuresunmatched
- Deep Learningunmatched
- Develop and Maintain Customersunmatched
- Full Scope Polygraphunmatched
- Javaunmatched
- Knowledge Representationunmatched
- Machine Learningunmatched
- Mathematicsunmatched
- Performance Managementunmatched
- Performance Modelingunmatched
- Problem Solving Skillsunmatched
- Programming Languagesunmatched
- Prototypingunmatched
- Psychiatry and Mental Healthunmatched
- Python Programming/Scripting Languageunmatched
- R Programming Languageunmatched
- Requirements Validation/Verificationunmatched
- Security Clearanceunmatched
- Sensitive Compartmented Information (SCI)unmatched
- Software Architectureunmatched
- Software Developmentunmatched
- Statisticsunmatched
- System Integration (SI)unmatched
- Team Lead/Managerunmatched
- Technical/Engineering Designunmatched
- Test Plan/Scheduleunmatched
- Testingunmatched
- Top Secret Clearanceunmatched
- United States Citizenunmatched
Description
REQUIRED:
TO BE CONSIDERED FOR THIS POSITION YOU MUST HAVE AN ACTIVE TS/SCI W/ FULL SCOPE POLYGRAPH SECURITY CLEARANCE (U.S. CITIZENSHIP REQUIRED)
The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills. Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus.
Required Skills:
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Compensation: We are committed to providing fair and competitive compensation. The salary range for this position is $78,000 to $250,000 per year. This range reflects the compensation offered across the locations where we hire. The exact salary will be determined based on the candidate's work location, specific role, skill set, and level of expertise.
Benefits: We offer a comprehensive benefits package, including:
Health Coverage: Medical, dental, and vision insurance
Additional Insurance: Basic Life/AD&D, Voluntary Life/AD&D, Short and Long-Term Disability, Accident, Critical Illness, Hospitalization Indemnity, and Pet Insurance
Retirement Plan: 401(k) plan with company match
Paid Time Off: Generous PTO, paid holidays, parental leave, and more
Wellness: Access to wellness programs and mental health support
Professional Development: Opportunities for growth, including tuition reimbursement
Additional Perks:
Flexible work arrangements, including remote work options
Flexible Spending Accounts (FSAs)
Employee referral programs
Bonus opportunities
Technology allowance
A diverse, inclusive, and supportive workplace culture
Numbers & Facts
| Location | Hanover, Maryland |
| Industry | Computer Software |
| Company Size | 50 to 99 employees |
| Year Founded | 2009 |
| Website | http://www.onyxpoint.com |
About Company
At Onyx Point, our engineers focus on Automation, DevOps, Security, System Administration, and Dataflow technologies. We provide consulting and training to both government and commercial clients. We support Puppet, Red Hat, SIMP, NiFi, GitLab, and many other solutions that keep systems running securely and efficiently. We offer Open Source software support, engineering, and consulting services through GSA IT Schedule 70. As Open Source advocates, we encourage the use of FOSS products as part of an overarching IT efficiencies plan to reduce ongoing IT expenditures. Our support and contributions to Open Source are just one of our many guiding principles. We also:
- Put our customers first.
- Prioritize security in all we do.
- Pursue innovation with integrity.
- Communicate openly and respectfully.
- Embrace your talents and appreciate the talents of others.
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