Machine Learning Engineer
Spotter
- Location
- USA
- Workplace
- Remote
- Employment
- Full Time
- Salary
- —
Posted 1mo ago
We're looking for a Machine Learning Engineer to help build and improve AI-powered products. You'll 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.
What you'll do
- 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.
What we're looking for
- 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.
Nice to have
- 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.
Requirements
- 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.
What we offer
- 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.
Skills
- Python
- PyTorch
- TensorFlow
- scikit-learn
- Git
- LLMs
- AWS
- GCP
- Azure
- SQL
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