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emagine

AI Engineer

emagine
Sweden · Full-time · Not Applicable

Drive innovation and transform our business as an AI Engineer in the AI and Data Center of Excellence team. You will be responsible for developing and deploying cutting-edge machine learning models and AI systems, working with technologies like natural language processing, computer vision, and predictive analytics to optimize performance and scalability. 

Key Responsibilities 

  • Develop and deploy machine learning models and AI systems, applying your knowledge of algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages like Python. 
  • Optimize models for performance and scalability, ensuring efficient and timely solutions that address business needs with a sense of urgency. 
  • Collaborate with Data Engineers and Analytics Engineers to integrate AI solutions into our data ecosystem, fostering cross-functional collaboration and knowledge sharing. 
  • Contribute to a culture of innovation and learning by staying abreast of the latest advancements in AI, sharing your knowledge with the team, and actively participating in the development and implementation of new ideas. 

Desired Skills & Experience 

  • Expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages like Python. 
  • Solid understanding of statistics and mathematics. 
  • Experience with cloud platforms and big data technologies. 
  • Strong communication skills to effectively convey complex technical concepts to diverse audiences. 
  • A passion for AI and a desire to contribute to a data-driven organization. 

Location: Stockholm ( 2-3 days on site)

Start: ASAP

End: 31-12-2025

Key Skills

Ranked by relevance

ai machine learning deep learning tensorflow pytorch python natural language processing computer vision big data cloud
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Posted
Mar 31, 2025
Type
Full-time
Level
Not Applicable
Location
Greater Stockholm Metropolitan Area
Company
emagine

Industries

IT Services IT Consulting

Categories

Engineering Information Technology

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