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Algorithm Developer (Deep Learning)

Neteera is developing a cutting edge and state-of-the-art radar-based technology, for remote and contactless vital sign sensing solution in the healthcare domain.

Our technology comprises unique innovative Radar-on chip in the sub-terahertz (THz) range, which together with appropriate algorithms allow the measurement of vital signs and behavioral parameters.

Neteera is seeking a highly skilled and experienced Algorithm Developer with a strong background in deep learning and machine learning. As an Algorithm Developer, you will be responsible for designing, implementing, and optimizing cutting-edge algorithms and models for various applications. You will collaborate with a multidisciplinary team to develop innovative solutions that push the boundaries of AI technologies. The ideal candidate will have at least 5 years of industry experience and a proven track record of successfully delivering complex algorithmic solutions.

Key responsibilities and tasks:

  • Develop and optimize algorithms and models for deep learning and machine learning applications

  • Collaborate with cross-functional teams to define project requirements, goals, and success criteria

  • Apply machine learning and data mining techniques to identify trends, anomalies, and actionable insights in medical data

  • Perform rigorous testing and validation of algorithms to ensure high performance and reliability in real-world scenarios

  • Analyze and interpret experimental results, making data-driven decisions to improve algorithm performance

Professional skills:

  • B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field.

  • Minimum of 5 years of industry experience as an Algorithm Developer, Data Scientist, or in a similar role

  • Strong expertise in deep learning and machine learning, with hands-on experience using frameworks such as PyTorch, TensorFlow, or Keras

  • Proven experience in developing and optimizing algorithms for machine learning tasks

  • Solid understanding of neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and other deep learning architectures

  • Familiarity with GPU programming and optimization techniques for accelerating deep learning algorithms

  • Strong analytical and problem-solving skills, with the ability to think creatively and propose innovative solutions

  • Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment

If you have the necessary experience and qualifications for this position, we encourage you to apply.

Send your CV to:

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