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:
Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university. 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree. Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.
Select appropriate data sets
Perform statistical analysis
Run machine learning algorithms
Use results to improve models
Train and retrain systems when needed
Experience in working with various ML libraries and packages
Run standard test and evaluation protocols
Provide system integration oversight
Oversee Test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements
Research and implement a broad range of AI and ML algorithms and tools
Design or Select appropriate data and knowledge representation methods
Recognize software architecture, data modelling, and data structures
Transform and convert data science prototypes into scalable solutions
Verify data and model output quality
Identify differences in data distribution that affect model performance
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.
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
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