Remote Machine Learning Engineer

Spotter, Inc
Lemont, IL, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Working hours
Regular working hours
Job source

Tech stack

Clean Code Principles Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Python (Programming Language) Machine Learning Tensorflow Software Engineering SQL Databases Pytorch Large Language Models
+6 more
Git Scikit Learn Information Technology Free and Open-Source Software Machine Learning Operations Software Library

Job description

  • Develop, train, and evaluate machine learning models.
  • Prepare and analyze datasets for model training.
  • Improve model performance through experimentation and testing.
  • Deploy and maintain ML models in production environments.
  • Collaborate with software engineers to integrate ML solutions into products.
  • Monitor model performance and continuously improve accuracy.
  • Stay up to date with new machine learning techniques and technologies.

Requirements

  • Basic understanding of machine learning concepts and algorithms.
  • Experience with Python.
  • Familiarity with machine learning libraries such as PyTorch, TensorFlow, or scikit-learn.
  • Comfortable working with data and writing clean, maintainable code.
  • Familiarity with Git.
  • Good problem-solving skills.
  • Strong written and verbal English communication., * Experience with large language models (LLMs).
  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Familiarity with SQL.
  • Experience deploying ML models.
  • Personal projects or open-source contributions related to AI or machine learning., * 1+ year of experience in machine learning, software engineering, data science, or a related technical role or strong personal projects demonstrating ML skills.
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field is a plus, but not required.
  • Passion for learning and building AI solutions.

Benefits & conditions

  • Fully remote work.
  • Flexible working environment.
  • Opportunity to work on real AI products.
  • Challenging technical problems with room to grow.
  • Collaborative and fast-moving team.
  • Competitive compensation based on experience.

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