Remote Machine Learning Engineer
Spotter Labs Inc
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
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Develop, train, and evaluate machine learning models.
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Prepare and analyze datasets for model training.
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Improve model performance through experimentation and testing.
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Deploy and maintain ML models in production environments.
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Collaborate with software engineers to integrate ML solutions into products.
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Monitor model performance and continuously improve accuracy.
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Stay up to date with new machine learning techniques and technologies.
What we’re looking for
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Basic understanding of machine learning concepts and algorithms.
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Experience with Python.
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Familiarity with machine learning libraries such as PyTorch, TensorFlow, or scikit-learn.
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Comfortable working with data and writing clean, maintainable code.
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Familiarity with Git.
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Good problem-solving skills.
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Strong written and verbal English communication.
Nice to have
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Experience with large language models (LLMs).
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Experience with cloud platforms such as AWS, GCP, or Azure.
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Familiarity with SQL.
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Experience deploying ML models.
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Personal projects or open-source contributions related to AI or machine learning.
Requirements
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1+ year of experience in machine learning, software engineering, data science, or a related technical role or strong personal projects demonstrating ML skills.
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Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field is a plus, but not required.
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Passion for learning and building AI solutions.
What we offer
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Fully remote work.
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Flexible working environment.
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Opportunity to work on real AI products.
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Challenging technical problems with room to grow.
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Collaborative and fast-moving team.
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Competitive compensation based on experience.
Vacancy posted 2 days ago
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