For nearly a century, Bollinger Shipyards has created a legacy as a leading designer and builder of high-performance marine vessels. We are renowned for delivering top-quality construction, manufacturing, and repair services with a commitment to safety and environmental responsibility.
POSITION OVERVIEW
We are seeking a dedicated Senior Machine Learning Engineer with at least a Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Management, or related field. The candidate will operationalize machine learning and AI solutions into scalable, reliable, and production-ready enterprise systems. This role bridges data science, software engineering, and infrastructure disciplines to deploy, monitor, optimize, and support AI solutions that drive operational and business outcomes.
REQUIREMENTS
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Management, or related field
- Minimum of 6–10 years of experience ML or software engineering
- Strong Python and ML deployment experience
- Experience with cloud ML systems
SKILLS
- Experience with Azure ML, Databricks, ML Ops, or similar cloud AI platforms
- Experience in manufacturing, industrial, operational, or engineering environments
- Familiarity with large language models, Generative AI, and intelligent automation
- Experience supporting enterprise AI applications integrated with ERP or operational systems
- Knowledge of monitoring, observability, and model governance practices
- Experience with Docker, Kubernetes, and infrastructure-as-code practice
RESPONSIBILITIES
- Deploy, integrate, and maintain machine learning and AI solutions within enterprise workflows and operational systems
- Design and develop scalable ML pipelines, feature stores, APIs, and model-serving infrastructure
- Collaborate with Data Scientists to productionize models and improve deployment readiness
- Monitor model performance, drift, availability, and reliability across production environments
- Implement processes for model retraining, versioning, governance, and lifecycle management
- Partner with Data Engineering teams to support feature engineering and data pipeline integration
- Ensure ML solutions are secure, scalable, maintainable, and aligned with enterprise architecture standards
- Support AI applications across forecasting, operational optimization, bidding, scheduling, maintenance, and automation use cases
- Troubleshoot and resolve issues related to model deployment and operational performance
- Contribute to ML engineering standards, best practices, and platform improvements
- Document architecture, deployment processes, and operational support procedure
WHY BOLLINGER?
- Competitive Pay
- Comprehensive Benefits Package
- Hybrid Schedule Available
- Career Development
- Cutting-Edge Projects
- Positive Work Environment & Company Values
APPLY TODAY – https://bollingershipyards.exacthire.com/job/198708
Bollinger is an equal opportunity employer and is committed to providing employment opportunities to minorities, females, veterans and disabled individuals, and without regard to sexual orientation and gender identity.