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Machine Learning Engineer

External
Vionlabs AB logoVionlabs Ab · Stockholm, Sweden
Full-timeUnknownToday
AWSAzureComputer VisionMachine LearningPythonPyTorch
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About the role

We are looking for a Machine Learning Engineer to join our growing team in Stockholm. As a Machine Learning Engineer, you will be responsible for developing, improving, and deploying machine learning models that power our AI-driven products. You will work closely with software engineers, data scientists, and product teams to build scalable solutions that deliver value to customers in the media and entertainment industry.

Responsibilities

  • Design, develop, and maintain machine learning models and pipelines
  • Analyze large datasets and extract actionable insights
  • Build scalable data processing workflows
  • Deploy and monitor machine learning models in production environments
  • Collaborate with engineering and product teams to improve AI-powered services
  • Continuously evaluate and improve model performance

Requirements

  • Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, Mathematics, or a related field
  • Strong programming skills in Python
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, or similar
  • Experience working with large datasets and data processing tools
  • Knowledge of software engineering best practices
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus
  • Strong analytical and problem-solving skills
  • Excellent communication skills in English

Benefits

Opportunity to work with cutting-edge AI technologyInternational and collaborative work environmentCompetitive compensation and benefitsFlexible working arrangementsProfessional development opportunitiesLocation: Stockholm, SwedenEmployment Type: Full-time, permanent position.

Additional Information

About Vionlabs: Vionlabs is an AI company that helps media and entertainment businesses better understand and recommend video content. Our technology uses machine learning and computer vision to analyze content and improve user experiences for streaming platforms and media companies worldwide.

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