Senior Machine Learning Engineer

Bollinger Shipyards; Raceland (LA); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Competitive Pay

Hybrid Schedule Available

Cutting-Edge Projects

Positive Work Environment

Job summary

Bollinger Shipyards in Raceland, Louisiana is seeking a Senior Machine Learning Engineer to operationalize machine learning solutions into production-ready systems. This role involves designing and developing scalable ML pipelines and collaborating with data scientists to enhance model performance.

The ideal candidate will have a Bachelor’s degree in a related field and 6-10 years of experience in ML or software engineering, alongside strong skills in Python. A competitive pay and hybrid work schedule are offered.

Qualifications

• Minimum of 6 –10 years of experience in ML or software engineering.
• Strong Python and ML deployment experience.
• Experience with cloud ML systems.

Responsibilities

• Deploy and maintain machine learning and AI solutions.
• Design scalable ML pipelines, feature stores, APIs, and model-serving infrastructure.
• Collaborate with Data Scientists to improve deployment readiness.
• Monitor model performance and reliability across production environments.
• Implement processes for model retraining and governance.
• Support feature engineering and data pipeline integration.

Skills

Experience with Azure ML

Databricks

ML Ops

Familiarity with large language models

Generative AI

Intelligent automation

Docker

Kubernetes

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Management

Tools

Cloud AI platforms

Job description

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
• Hybrid Schedule Available
• Cutting-Edge Projects
• Positive Work Environment & Company Values

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.