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Machine Learning Engineer at Creai | JobVerse
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Machine Learning Engineer
Creai
Remote
Website
LinkedIn
Machine Learning Engineer
United States
Full Time
3 hours ago
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Key skills
AWS
Azure
Cloud
Google Cloud Platform
Pandas
Python
PyTorch
Scala
Scikit-Learn
Tensorflow
AI
Machine Learning
ML
TensorFlow
scikit-learn
GCP
Google Cloud
Communication
Remote Work
About this role
Role Overview
Design, develop, and maintain machine learning solutions from conception through production deployment.
Collaborate with data, product, and engineering teams to integrate models into real-world products.
Analyze large volumes of data to solve complex problems using predictive models.
Optimize existing models and systems to improve efficiency and performance.
Implement cloud solutions (AWS, GCP, or Azure), maximizing scalability and cost-effectiveness.
Document and present technical developments clearly and effectively.
Drive continuous improvements in development practices and adoption of new technologies.
Requirements
Strong programming skills in Python and/or Scala.
Hands-on experience with ML frameworks such as TensorFlow, PyTorch, scikit-learn, and pandas.
Experience with cloud services (AWS, GCP, or Azure) and their ML tools.
Proven ability to design, train, validate, and deploy machine learning models to production.
Solid knowledge of data structures, data modeling, and software architecture.
Degree in Computer Science, Software Engineering, or equivalent experience.
Excellent written and verbal communication skills.
Collaborative mindset and ability to solve complex problems with scientific curiosity.
Tech Stack
AWS
Azure
Cloud
Google Cloud Platform
Pandas
Python
PyTorch
Scala
Scikit-Learn
Tensorflow
Benefits
100% remote work with schedule aligned to Central Standard Time (CST).
Unlimited PTO: We trust you to manage your time effectively.
Annual development budget: Access to courses, certifications, and conferences.
Equipment allowance: Set up your ideal remote workspace.
Semi-annual performance bonuses: We recognize and reward your impact with financial incentives.
Health benefit: Access to private medical coverage or subsidies for health insurance.
Growth opportunities: Career development plan and mentorship with AI and technology experts.
Dynamic, flexible startup environment: Autonomy to make decisions and propose ideas, with a focus on results rather than hours worked.
Work-life balance: A culture that prioritizes flexibility and well-being, allowing you to manage your time without sacrificing your personal life.
Apply Now
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