Senior Machine Learning Engineer
LED FastStart•Raceland, LA
About The Position
The Senior ML Engineer is responsible for operationalizing 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, 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
Nice To Haves
- 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 practices
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 procedures
Benefits
- 401k
- Dental Insurance
- Life Insurance
- Medical Insurance
- Vision
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What This Job Offers
Job Type
Full-time
Career Level
Senior
