Remote Machine Learning Engineer
Lemont, IL - USA
Job Summary
Were looking for a Machine Learning Engineer to help build and improve AI-powered products. Youll work with large datasets train and evaluate machine learning models and collaborate with software engineers to bring models into production.
This is a great opportunity for someone who enjoys solving practical problems with machine learning and wants to work on real-world AI applications.
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.
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.
Bachelors degree in Computer Science Engineering Mathematics or a related field is a plus but not required.
Passion for learning and building AI solutions.
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.
About Company
Spotter is a fast growing trucking startup based in the US. You will be working in a high energy environment with a diverse pool of co-workers from all around the world. With our Ai-based technology, we take your needs, location, and expectations into consideration and match you with ... View more