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Deep Learning Engineer

Deep Learning Engineer

Parallel ConsultingBrussels Metropolitan Area, Belgium
Il y a 11 jours
Description de poste

Responsibilities

  • Design, implement, and optimize deep learning models (CNNs, RNNs, Transformers, etc.) to address project-specific challenges.
  • Work with large-scale datasets, including data cleaning, preprocessing, augmentation, and feature engineering.
  • Develop end-to-end pipelines from data ingestion through model training, validation, and deployment.
  • Collaborate with data scientists, software engineers, and domain experts to integrate AI solutions.
  • Conduct experiments, analyze results, and iterate to improve model performance.
  • Ensure code quality with version control, documentation, and testing best practices.
  • Stay up-to-date with the latest research and tools in deep learning and AI.
  • Support model deployment on cloud platforms or edge devices as required.

Required Skills & Experience

  • Proven experience in building and deploying deep learning models for real-world applications.
  • Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Strong understanding of neural network architectures (CNNs, RNNs, LSTMs, Transformers).
  • Experience with data preprocessing techniques and working with unstructured data (images, text, audio).
  • Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus.
  • Solid knowledge of machine learning fundamentals and optimization techniques.
  • Ability to work independently, manage time effectively, and communicate clearly with stakeholders.
  • Fluency in English; knowledge of French or Dutch is an advantage.
  • Preferred Qualifications

  • MSc or PhD in Computer Science, AI, Machine Learning, or a related field.
  • Experience with MLOps tools and workflows.
  • Knowledge of NLP, computer vision, or reinforcement learning is a bonus.
  • Previous freelance or consulting experience is a plus.
  • What We Offer

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