Remote Machine Learning Engineer

Spotter, Inc
Lemont, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

Remote
Lemont, United States of America

Tech stack

Clean Code Principles
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing
Python
Machine Learning
TensorFlow
Software Engineering
SQL Databases
PyTorch
Large Language Models
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.

Apply for this position