Senior ML Engineer — Production-Grade AI & Pipelines

Bollinger Shipyards, Inc.; Raceland (LA); On-site; USD 140,000 - 210,000; Full time

Job summary

Bollinger Shipyards, Inc. seeks a Senior Machine Learning Engineer to operationalize ML/AI solutions across enterprise workflows, bridging data science, software engineering, and infrastructure.

The role focuses on deploying, monitoring, and maintaining production-ready AI assets that enable forecasting, automation, and optimization in manufacturing environments. The candidate will design scalable pipelines, feature stores, and model-serving infra, collaborate with data scientists, and ensure

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field.
• 6–10 years in ML or software engineering.
• Strong Python and ML deployment experience.
• Experience with cloud ML systems.

Responsibilities

• Deploy, integrate, and maintain ML/AI solutions within enterprise workflows and production environments.
• 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, and reliability across production environments.
• Implement processes for model retraining, versioning, governance, and lifecycle management.
• Partner with Data Engineering to support feature engineering and data pipeline integration.
• Ensure ML solutions are secure, scalable, 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 procedures.

Skills

Azure ML

Databricks

ML Ops

Docker

Kubernetes

Generative AI

ERP integration

Observability

Python

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

Python

Job description

Bollinger Shipyards, Inc. seeks a Senior Machine Learning Engineer to operationalize ML/AI solutions across enterprise workflows, bridging data science, software engineering, and infrastructure.

The role focuses on deploying, monitoring, and maintaining production-ready AI assets that enable forecasting, automation, and optimization in manufacturing environments. The candidate will design scalable pipelines, feature stores, and model-serving infra, collaborate with data scientists, and ensure