Onyx Point, LLC. · 18 hours ago
Artificial Intelligence Machine Learning Skill Level 1
Onyx Point, Inc. is seeking an AI/ML Engineer Level 1 responsible for designing, creating, testing, and productizing AI/ML algorithms to solve business challenges. The ideal candidate will work across the model development lifecycle and collaborate with cross-functional teams to deliver high-impact solutions.
ComputerInformation TechnologySmall and Medium BusinessesSoftware
Responsibilities
Knowledge and experience of Language models is required
Specific experience with Marian and multi-lingual model development
Knowledge of Computation Linguistics is a plus
Experience with Open-Source model libraries, Deep Learning Containers (DLC), GPU technologies and optimization / tuning
Strong Java, C, C++ programming experience
Willingness to support occasional on-call duties is a plus
Build, train, and fine-tune machine learning models, particularly language models
Apply best practices in model training, tuning, and optimization
Design and implement solutions for model performance improvement
Conduct rigorous model evaluation, including performance analysis and benchmarking
Perform error analysis, debugging, and model diagnostics to ensure quality and reliability
Work with cloud-based AI platforms (especially AWS Sagemaker) to deploy and scale models
Integrate machine learning models into production environments, ensuring seamless integration with other systems
Contribute to the development and maintenance of the full stack for AI model-based applications (front-end and back-end)
Collaborate with software engineers to build scalable and efficient deployment pipelines
Work closely with data scientists, product teams, and engineers to translate business requirements into technical solutions
Document workflows, model design processes, and technical specifications
Qualification
Required
Currently have an active TS/SCI with polygraph security clearance with the federal government
U.S. citizenship required
2 years experience in applied machine learning in programs and contracts of similar scope, type, and complexity
A B.S. degree in advanced math (e.g., calculus, linear algebra or Bayesian statistics), computer science or related STEM discipline from an accredited college or university is required
Extensive experience in machine learning model development, including natural language processing (NLP)
Experience with model evaluation, optimization, and performance monitoring
Proven experience in software engineering with strong coding skills
Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face
Expertise in model training, evaluation, and deployment
Hands-on experience with AWS tools like SageMaker, Lambda, EC2, and S3
Experience in developing full-stack software applications (JavaScript, Python, Java, etc.)
Solid understanding of data structures, algorithms, and system design
Preferred
Experience working in a government or defense-related environment is highly preferred
Knowledge of Computation Linguistics is a plus
Experience with Open-Source model libraries, Deep Learning Containers (DLC), GPU technologies and optimization / tuning
Strong Java, C, C++ programming experience
Willingness to support occasional on-call duties is a plus
Experience with model versioning and management using tools such as MLFlow or Git
Familiarity with containerization tools (i.e. Kubernetes)
Strong problem-solving and analytical skills
Excellent communication and collaboration abilities
Experience with secure data handling and compliance requirements
Experience working with Large Language Models (LLMs)
Polygraph must be within 7 years
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