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Yeah Global

AI Engineer - Germany (Remote)

Remote

Komplett remoteAI & DataML / AI EngineerAI-first Team

Als AI Engineer entwickelst und implementierst du KI- und Machine-Learning-Lösungen für einen kalifornischen Kunden. Die Stelle ist remote von Deutschland aus, Standort Berlin.

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Stellenbeschreibung

Overview:

One of our clients based in California, USA is building a new team and looking for 7 highly skilled and motivated AI Engineers globally to join their dynamic team. As an AI Engineer, you will be pivotal in designing, developing, and deploying state-of-the-art AI solutions that enhance the capabilities of our products and services, driving efficiency and innovation.

Key Responsibilities:

  • Design and implement advanced machine learning algorithms to solve complex problems.
  • Analyze large datasets to extract valuable insights and improve model performance.
  • Train machine learning models and evaluate their performance using various metrics and methodologies.
  • Integrate AI solutions into existing systems to enhance functionality and performance.
  • Stay updated with the latest trends in AI and machine learning, applying this knowledge to drive innovation within the team.
  • Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to deliver high-quality AI solutions.
  • Deploy AI models into production environments, ensuring their ongoing performance and reliability.
  • Create comprehensive documentation for AI models, algorithms, and systems to facilitate knowledge sharing and maintenance.

Qualifications:

  • Bachelors or Masters degree in Computer Science, Engineering, or a related field.
  • Proficiency in programming languages such as Python, R, or Java, and strong understanding of machine learning frameworks like TensorFlow, PyTorch, and scikit-learn.
  • Demonstrated experience in developing and deploying AI models in a professional setting.
  • Strong analytical and problem-solving skills with experience in working with large datasets.
  • Excellent verbal and written communication skills to explain complex AI concepts to non-technical stakeholders.
  • Ability to work collaboratively in a team environment and contribute to project success.

Preferred Qualifications:

  • Ph.D. in AI, Machine Learning, Data Science, or a related field.
  • Experience in applying AI techniques in industries such as healthcare, finance, or e-commerce.
  • Familiarity with big data platforms like Hadoop, Spark, and AWS.
  • Published research in reputable AI or machine learning conferences or journals.

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