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AI Machine Learning Principal Engineer. Job in Raymond Gr8Jobs
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Based on Ohio data
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What they do
A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
$120,298 / year median in Ohio
Job Description
Own the full AI lifecycle:
data ingestion, feature engineering, training, evaluation, deployment, and monitoring. Implement MLOps and GenAIOps best practices (versioning, drift detection, CI/CD, traceability). Develop and deploy agentic AI solutions for CAE in the cloud and deploy AI agents to execute/augment/monitor workflows. Support ETL activities related to ADC data (CAE) structure. Establish design standards, code quality, and documentation to support reuse and auditability. Mentor and technically guide mid-level and junior engineers. Qualifications, Experience, and Skills Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field, or equivalent experience. 8+ years of experience developing and deploying ML/AI systems; 3+ years in production environments. Other Job-Specific Skills Hands-on experience with graph neural networks (GCNNs, GNNs, GATs, MPNNs) Advanced proficiency in Python; C++ or Java is a strong plus for automotive contexts Deep expertise in ML frameworks (PyTorch, TensorFlow, scikit-learn) Strong foundation in statistics, optimization, and numerical methods Hands-on experience deploying AI solutions on AWS/Azure (e.g., Amazon Bedrock) Experience with LangGraph / LangChain & Strands SDK. Experience with containers, pipelines, and MLOps tooling (Docker, MLflow, CI/CD) Knowledge of model governance, compliance, and responsible AI frameworks CAE/physics-informed ML, surrogate modelling, or simulation experience (preferred). Prior knowledge of automotive or related design engineering work is a plus. Job Dimensions Decisions Expected Working Conditions Work is primarily conducted at an office desk; hybrid (office/home) work may be available. Occasional travel and overtime may be required based on project milestones. Work in a cross-functional environment supporting engineering, simulation, and manufacturing stakeholders. What differentiates Honda and makes us an employer of choice?Total Rewards:
Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Regional Bonus (when applicable) Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible)Career Growth:
Advancement Opportunities Career Mobility Education Reimbursement for Continued learningTraining and Development Programs Additional Offerings:
Lifestyle Account Childcare Reimbursement Account Elder Care Support Tuition Assistance & Student Loan Repayment Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.Benefits
- Paid Time Off (PTO)
- Financial Aid/Assistance
- 401(k) Plans
- Health Insurance