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Internship Machine Learning Engineer New Grad Jobs in Louisiana

Spotify

$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 ...

Zoolatech

Senior MLOps Engineer Central Europe

Central, LA · On-site

$120 - $150/hr

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 ...

Varsity Tutors

Machine Learning Tutor

New Orleans, LA · Remote

$18 - $40/hr

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

Varsity Tutors

Machine Learning Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

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

COOLSOFT

AI/ML Support Engineer

Baton Rouge, LA · On-site

Support machine learning model development, deployment, and performance optimization . * Analyze ... Collaborate with engineering, data science, cloud, and support teams to resolve production issues.

Collabera

Support Engineer

Baton Rouge, LA · On-site

Client - IBM Job Title - Artificial Intelligence / Machine Learning Support Engineer Remote - 06 weeks, then need to relocate to Baton Rouge, LA Summary This profile outlines the desired skills and ...

Collabera LLC

Support Engineer

Baton Rouge, LA · On-site

Client - IBM Job Title - Artificial Intelligence / Machine Learning Support Engineer Remote - 06 weeks, then need to relocate to Baton Rouge, LA Summary This profile outlines the desired skills and ...

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Internship Machine Learning Engineer New Grad information

What does an internship machine learning engineer new grad do?

An Internship Machine Learning Engineer New Grad typically works on developing, testing, and optimizing machine learning models under the guidance of senior engineers or data scientists. Their responsibilities often include data preprocessing, feature engineering, model training, and evaluating model performance. They may also collaborate with cross-functional teams to integrate models into production or contribute to research projects. This role provides hands-on experience with real-world data and the opportunity to learn industry-standard tools and practices.

What are the key skills and qualifications needed to thrive as an internship machine learning engineer new grad?

To thrive as an Internship Machine Learning Engineer New Grad, you need a strong grasp of programming (especially Python), machine learning algorithms, data structures, and a relevant degree or coursework in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Strong analytical thinking, problem-solving abilities, and a willingness to learn make you stand out in this position. These skills enable you to contribute effectively to projects, quickly adapt to new challenges, and support innovative solutions in a fast-evolving field.

What types of projects do machine learning engineer interns typically work on?

Machine Learning Engineer interns often work on hands-on projects such as data preprocessing, model development, and conducting experiments to validate algorithms under the guidance of senior engineers. These projects might include building prototypes, optimizing existing machine learning models, or supporting data collection and annotation efforts. Interns are expected to collaborate closely with data scientists, software engineers, and product teams to align their work with real business needs. This experience not only helps interns build technical skills but also provides insight into how machine learning solutions are integrated into larger products or services.

What is the difference between Internship Machine Learning Engineer New Grad vs Machine Learning Engineer?

AspectInternship Machine Learning Engineer New GradMachine Learning Engineer
Required CredentialsTypically pursuing or recently completed a Bachelor's or Master's in CS, Data Science, or related fieldsBachelor's or higher in CS, Data Science, or related fields; often requires some professional experience
Work EnvironmentTemporary, learning-focused internship, often part-time or summerFull-time professional role in a team, responsible for deploying ML models and projects
Employer & Industry UsageInternships offered by tech companies, startups, and research labs; industry-wideFull-time roles in tech, finance, healthcare, and other sectors utilizing ML

The main difference between an Internship Machine Learning Engineer New Grad and a Machine Learning Engineer is experience level and job responsibilities. Internships are temporary, learning-focused positions for recent graduates or students, while full-time Machine Learning Engineers handle ongoing projects, deployment, and optimization of ML models in a professional setting.

What are the most commonly searched types of Machine Learning Engineer New Grad jobs in Louisiana?

The most popular types of Machine Learning Engineer New Grad jobs in Louisiana are:

What are popular job titles related to Internship Machine Learning Engineer New Grad jobs in Louisiana?

For Internship Machine Learning Engineer New Grad jobs in Louisiana, the most frequently searched job titles are:

What job categories do people searching Internship Machine Learning Engineer New Grad jobs in Louisiana look for?

The top searched job categories for Internship Machine Learning Engineer New Grad jobs in Louisiana are:

What cities in Louisiana are hiring for Internship Machine Learning Engineer New Grad jobs?

Cities in Louisiana with the most Internship Machine Learning Engineer New Grad job openings:

Internship Machine Learning Engineer New Grad jobs near you

Senior Machine Learning Engineer

Bollinger Shipyards

Raceland, LA • On-site

$99K - $136K/yr

Full-time

Re-posted 8 days ago

Bollinger Shipyards rating

6.5

Company rating: 6.5 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

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. 

What Bollinger Shipyards employees say

Pay

Benefits

Hours and flexibility

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