Senior Machine Learning Engineer
Job in
Metairie, Jefferson Parish, Louisiana, 70011, USA
Listed on 2026-10-09
Listing for:
Bollinger Shipyards, Inc.
Full Time
position Listed on 2026-10-09
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
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
- 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
- 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 product ionize 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
Position Requirements
10+ Years
work experience
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×