Remote Machine Learning Engineer
Spotter Labs · 3 days 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.
Originally posted on Himalayas