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Junior Machine Learning Engineer New Grad Jobs in Louisiana

$184K - $262K/yr

Working at the intersection of machine learning, platform engineering, and regulatory compliance ... They're on the critical path for every new content type and social feature - including messaging ...

... Junior AI/ML Support Engineers to join a high-priority team supporting AI/ML platforms and applications. The ideal candidate will have a strong foundation in Artificial Intelligence, Machine Learning ...

Are you passionate about improving the way Machine Learning systems are developed, deployed, and ... You'll work at the intersection of engineering and data science, playing a key part in shaping how ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Delegating tasks to Junior Data Engineers to realize the successful completion of projects ... Knowledge of a variety of machine learning techniques (clustering, decision tree learning ...

Junior Developer

Baton Rouge, LA · On-site

$55K - $65K/yr

As a Junior Developer you will work alongside our Enterprise Solutions Architect and existing ... Familiarity with AI tools, APIs, or machine learning concepts * Basic understanding of REST APIs ...

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Senior Machine Learning Engineer

Raceland, LA • On-site


Bollinger Shipyards
Ship and Boat Building • 1 - 5K employees

6.5

Company rating: 6.5 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

People enjoy working here

Respectful managers


$99K - $136K/yr

Full-time

Re-posted 8 days ago


Job description

Job Title: Senior Machine Learning Engineer

Location: Mulitple Locations

Position Overview:

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.

Key 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

 

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

 

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 practices

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. 



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