AI Machine Learning Skill 3-FFPP-8953

Onyx Point, LLC.; Hanover (MD); Remote; USD 120,000 - 250,000; Full time

Benefits offered by this job

Flexible work arrangements

Remote work options

Bonus opportunities

Technology allowance

Tuition reimbursement

Career development opportunities

Job summary

Onyx Point, LLC. seeks an AI/ML Engineer with a TS/SCI clearance to design, deploy, and productize ML models. You will lead diverse teams, select data, train models, and ensure validation across cloud architectures.

Proficiency in Python, Java, C, and R is valued along with deep knowledge of ML libraries. You will work on scalable AI solutions, oversee evaluation protocols, and translate results into business impact while collaborating across teams and customers in a security-conscious

Qualifications

• Active TS/SCI with Full Scope Polygraph clearance required.
• U.S. citizenship required.
• 10 years of experience deploying machine learning algorithms.
• Master's or PhD in a relevant field required; substitution available.

Responsibilities

• Select appropriate data sets.
• Perform statistical analysis.
• Run machine learning algorithms.
• Use results to improve models.
• Train and retrain systems when needed.
• Experience with ML libraries and packages.
• Run test and evaluation protocols.
• Provide system integration oversight.
• Oversee T&E of AI/ML algorithms in iterative design.
• Research and implement AI/ML algorithms and tools.
• Design data and knowledge representations.

Skills

Python

Java

C

R

Machine learning

Data analysis

Team leadership

Communication

Education

Master's degree in related field

PhD in AI/CS or related field

Tools

TensorFlow

PyTorch

scikit-learn

AWS

Job 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. 10 years experience deploying machine learning algorithms 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 is required. 7 additional years machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree. Demonstrated abilities in software engineering and AI/ML model test and evaluation.

• 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
• Develop criteria for test and evaluation to include explainability and resiliency
• Deep understanding of AI logic, semantics, ontologies, and knowledge representation
• Demonstrated ability to design, evaluate, and productize AI/ML models on a range of commercial cloud-based architectures
• Design ML algorithms according to customer requirements
• Research, experiment with, and implement suitable ML algorithms and tools
• Broaden current AIML frameworks and machine learning libraries.

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