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Machine Learning / AI Engineer

Remote • Posted 6 hours ago • Updated 6 hours ago

Full Time

Remote

Fitment

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Job Details

Skills

Maintenance Planning
Data Analysis
Performance Tuning
Analytics
Forecasting
Decision-making
Reporting
Analytical Skill
Collaboration
Enterprise Asset Management
Asset Management
Artificial Intelligence
Data Science
Python
SQL
scikit-learn
TensorFlow
PyTorch
Machine Learning (ML)
Algorithms
Predictive Analytics
Evaluation
Database

Summary

Machine Learning / AI Engineer

Experience: 4+ years
Location: Remote

Job Summary:

We are seeking a Machine Learning / AI Engineer to develop data-driven solutions supporting asset management, predictive maintenance, fleet operations, and maintenance planning. The ideal candidate will have strong hands-on experience in Python, machine learning, data analytics, and enterprise data environments.

Experience with asset management, fleet maintenance, or transportation systems is highly preferred.

Responsibilities:

Develop and implement machine learning and AI solutions for predictive maintenance, asset failure prediction, anomaly detection, forecasting, and asset performance optimization.
Analyze work order, asset, maintenance, and operational data to identify trends, failure patterns, and improvement opportunities.
Develop models and analytics supporting condition-based maintenance and asset replacement decisions.
Develop forecasting models to support maintenance and operational decision-making.
Build and integrate data pipelines and AI/ML solutions with enterprise applications, databases, APIs, and reporting platforms.
Evaluate model performance and translate analytical results into actionable recommendations for business and maintenance teams.
Collaborate with EAM functional and technical teams to develop and implement AI/ML solutions aligned with asset management and maintenance requirements.

Required Qualifications:

4+ years of experience in Machine Learning, AI, Data Science, or a related field.
Strong hands-on experience with Python and SQL.
Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
Experience with data preparation, feature engineering, model development, validation, and deployment.
Strong understanding of machine learning algorithms, predictive analytics, and model evaluation.
Experience working with databases, APIs, and enterprise data environments.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTL939169
Position Id: e77430c3ae61a21898def7ad1b94ffde
Posted 6 hours ago

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