Remote Machine Learning Engineer - Remote-Stelle

Spotter Labs sucht Remote Machine Learning Engineer. Die Stelle liegt im Bereich IT und Programmierung und ist vollständig remote. Das Unternehmen schränkt den Wohnort der Kandidatin nicht ein, Sie können sich also von überall bewerben.

Die wichtigsten in der Anzeige genannten Werkzeuge sind: Machine Learning, AWS. Der Lebenslauf sollte konkrete Beispiele genau dieser Fähigkeiten zeigen.

Das Unternehmen hat keine Zahl veröffentlicht, das klärt sich im Gespräch. Zu den Arbeitszeiten stellt die Anzeige keine Bedingung.

Diese Stelle hat eine automatische Prüfung durchlaufen: Anzeigen, die eine ausländische Arbeitserlaubnis, Visa-Sponsoring, eine bestimmte Staatsangehörigkeit oder den Wohnsitz in einem genannten Land verlangen, kommen nicht auf die Liste.

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