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Machine Learning / AI Engineer - Remote

Remote • Posted 1 hour ago • Updated 1 hour ago

Contract W2

Contract Corp To Corp

Contract Independent

24 Months

No Travel Required

Remote

$55 - $60/hr

Fitment

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Job Details

Skills

AI/ML
Python
SQL
Scikit-lears
Tensorflow or Pytorch
data preparation
feature engineering
model development
validation
deployment
machine learning algorithms
predictive analytics
and model evaluation
databases
APIs
and enterprise data environments

Summary

Title: 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: 10384951
Position Id: 9110438
Posted 1 hour ago

Contact the job poster

Samuel Gunabalan

Recruiter @ Techaffinity Consulting

View Profile

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