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Deep Learning Engineer

vor 3 Wochen


Berlin, Berlin, Deutschland Solutyics Vollzeit

Company Description

Solutyics operates with a vision to harness the power of Data and AI to unlock limitless possibilities. Our team of experts is dedicated to advancing technology by addressing complex challenges and delivering cutting-edge solutions in Artificial Intelligence, Machine Learning, Data Engineering, and Advanced Data Analytics. We prioritize building strong, transparent relationships with our clients and tailor solutions to their specific needs to ensure their sustained success. At Solutyics, we share a passion for innovation and a commitment to excellence in every project we undertake.

Role Description

This is a full-time, on-site role for a Deep Learning Engineer based in Berlin, Germany. The Deep Learning Engineer will be responsible for designing, implementing, and optimizing deep learning models. Day-to-day tasks include conducting data preprocessing, analyzing large datasets, developing innovative AI solutions, and collaborating with cross-functional teams to meet project objectives. The role involves staying updated on emerging trends in the AI and machine learning space and contributing to the continuous improvement of AI-based products and services.

Qualifications

  • Proficiency in developing deep learning models, frameworks such as TensorFlow, PyTorch, or Keras
  • Strong understanding of Machine Learning, Artificial Intelligence, and neural network architectures
  • Experience with data preprocessing, data engineering, and handling large datasets
  • Proficient in Python and libraries for scientific computing (NumPy, pandas, etc.)
  • Hands-on experience with model optimization and hyperparameter tuning
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization tools (e.g., Docker, Kubernetes) is a plus
  • Strong problem-solving skills and the ability to work collaboratively in a team setting
  • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or related field
  • Demonstrable knowledge of advanced data analytics and a keen interest in staying updated with the latest in AI research