Advanced Signal Processing Engineer

Há 3 dias


Lisboa, Lisboa, Portugal Darwin Recruitment Tempo inteiro
About the Role

We are seeking a highly skilled Advanced Signal Processing Engineer to join our innovative team at Darwin Recruitment. As a key member of our team, you will play a critical role in developing sophisticated algorithms to analyze radar and sensor data.

Key Responsibilities:
  • Design and implement signal processing techniques to enable detection, segmentation, and tracking of complex signals.
  • Conduct detailed data analysis to reveal meaningful insights and patterns, informing business decisions and driving growth.
  • Develop and optimize machine learning models to maximize performance and accuracy, utilizing TensorFlow, PyTorch, or scikit-learn.
  • Prepare data through filtering, denoising, and normalization, ensuring its suitability for advanced modeling and analysis.
  • Collaborate closely with cross-functional teams to translate project requirements into scalable, efficient solutions.
Requirements:
  • Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or a related field; an advanced degree is a plus.
  • 3+ years of experience in a commercial data science role, particularly in signal processing for sensor data, radar, SAR, or maritime radar systems.
  • Strong knowledge of signal processing techniques, machine learning frameworks, and programming languages like Python, MATLAB, and C++.
  • Familiarity with cloud platforms (GCP preferred, AWS or Azure acceptable) and experience with taking ML models into production.
  • Understanding of DevOps practices, including GIT, CI/CD, and telemetry tools.
What We Offer:
  • A competitive salary of $120,000 - $180,000 per year, depending on experience.
  • The opportunity to work with a leader in autonomous systems, transforming sensor data into actionable insights.
  • A collaborative and dynamic work environment, with opportunities for professional growth and development.

Please note that this is a unique opportunity to work on high-impact projects at the intersection of AI, data science, and state-of-the-art technology.


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