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Vivid Resourcing

Machine Learning Engineer

Vivid Resourcing
Netherlands Β· Full-time Β· Mid-Senior

My Client located in Amsterdam are in search of a highly skilled machine learning engineer to join their team. The main responsibilities and requirements are listed below !


Key Responsibilities:

  • Develop and implement machine learning algorithms to solve complex problems in a variety of domains πŸ“ˆπŸ§ .
  • Work with large datasets, preprocess and clean data to build robust models πŸ—‚οΈπŸ”.
  • Design, train, and fine-tune machine learning models for tasks such as classification, regression, clustering, and recommendation systems πŸ€–πŸ“Š.
  • Experiment with and optimize algorithms to improve model accuracy, efficiency, and scalability βš™οΈπŸ“ˆ.
  • Deploy machine learning models into production environments and monitor their performance in real-time πŸš€πŸ”§.
  • Document methodologies, results, and processes to maintain clear communication within the team πŸ“πŸ’¬.


Key Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or a related field πŸŽ“πŸ“˜.
  • Proven experience in machine learning, deep learning, and AI, with a solid understanding of ML algorithms and frameworks πŸ§ πŸ“Š.
  • Strong proficiency in programming languages such as Python, Java, or C++ πŸ’»πŸ’‘.
  • Hands-on experience with machine learning libraries like TensorFlow, PyTorch, Keras, Scikit-learn, or similar πŸ”§πŸ“š.
  • Experience with data manipulation and analysis using libraries like Pandas, NumPy, or similar πŸ“‚πŸ”.
  • Knowledge of model deployment techniques (e.g., Docker, Kubernetes, cloud platforms) β˜οΈβš™οΈ.
  • Familiarity with cloud-based machine learning services (e.g., AWS Sagemaker, Google AI Platform, Azure ML) is a plus β˜οΈπŸš€.


Salary Package:

  • Up to €85,000
  • Flexible Hybrid Working
  • Company Car
  • Laptop and Mobile Phone

Key Skills

Ranked by relevance

machine learning cloud ai deep learning kubernetes tensorflow pytorch python docker pandas keras numpy java aws c
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Posted
Jan 02, 2025
Type
Full-time
Level
Mid-Senior
Location
The Randstad

Industries

Technology Information Media

Categories

Engineering

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