AI Machine Learning Skill 2-FFPP-8841

Onyx Point, Inc.; Hanover (MD); Remote; USD 78,000 - 250,000; Full time

Benefits offered by this job

Health Coverage: Medical, dental, and…

401(k) plan with company match

Paid Time Off: Generous PTO, holidays,

Wellness programs and mental health

Tuition reimbursement

Remote work options

FSAs

Employee referrals

Bonus opportunities

Technology allowance

Inclusive workplace culture

Job summary

Onyx Point, Inc. seeks an AI/ML Engineer to design, test, and productionize ML algorithms for business challenges. The role covers model architecture, data pipelines, and evaluation, with leadership responsibilities for diverse teams and primary AI advisor duties.

The candidate should be proficient in Python, Java, C, and R, familiar with ML libraries, and capable of translating prototypes into scalable solutions while delivering reliable model performance.

Qualifications

• Five years of applied ML experience required in programs of similar scope.
• Master's or Ph.D. in a relevant field preferred; substitution with 5 years of experience allowed.
• Experience with ML frameworks, e.g. PyTorch, TensorFlow; strong data handling and modeling skills.

Skills

Applied ML

Python

Pytorch

TensorFlow

Statistical analysis

Model retraining

Data pipelines

System integration

Java

C

R

Education

Master's or Ph.D. in advanced math, artificial intelligence, data science, computer science or deep learning

Tools

PyTorch

TensorFlow

Job description

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:

• 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
• 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