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.
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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.
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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:
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Develop and optimize algorithms and models for deep learning and machine learning applications
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Collaborate with cross-functional teams to define project requirements, goals, and success criteria
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Apply machine learning and data mining techniques to identify trends, anomalies, and actionable insights in medical data
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Perform rigorous testing and validation of algorithms to ensure high performance and reliability in real-world scenarios
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Analyze and interpret experimental results, making data-driven decisions to improve algorithm performance
Professional skills:
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B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field
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Minimum of 5 years of industry experience as an Algorithm Developer, Data Scientist, or in a similar role
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Strong expertise in deep learning and machine learning, with hands-on experience using frameworks such as PyTorch, TensorFlow, or Keras
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Proven experience in developing and optimizing algorithms for machine learning tasks
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Solid understanding of neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and other deep learning architectures
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Familiarity with GPU programming and optimization techniques for accelerating deep learning algorithms
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Strong analytical and problem-solving skills, with the ability to think creatively and propose innovative solutions
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Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment
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If you have the necessary experience and qualifications for this position, we encourage you to apply.
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Send your CV to: