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Machine Learning Engineer

Machine Learning Engineer

Optimal Inc.Warren, MI, US
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Job Description

Job Description

Deep Learning / ML Engineer

Key Responsibilities :

  • Design, develop, and implement deep learning models using architectures such as CNNs, RNNs, and GANs, with a focus on state-of-the-art computer vision, image processing, and signal processing techniques.
  • Apply machine learning algorithms for feature extraction, classification, detection, and prediction from complex image and signal data.
  • Utilize advanced image and signal processing methods to enhance model performance, data quality, and system robustness.
  • Optimize machine learning models for deployment on edge devices, ensuring efficient use of limited computational resources.
  • Collaborate with cross-functional teams to integrate ML solutions into production systems.
  • Write clean, efficient, and well-documented Python code following best software development practices.

Required Qualifications :

  • 2-5 years of hands-on experience developing and optimizing machine learning models and algorithms, with an emphasis on computer vision, image processing, and signal processing.
  • Strong proficiency in Python; experience with libraries such as TensorFlow, PyTorch, NumPy, SciPy, and OpenCV is highly desirable.
  • Solid understanding of software development practices including version control (e.g., Git), testing, and continuous integration.
  • Proven experience with performance optimization techniques for ML models, especially in edge-computing environments.
  • Strong background in machine learning and deep learning, particularly in signal and image processing applications.

    • Education :

  • Ph.D. degree in Computer Science, Robotics, Electrical Engineering, Computer Engineering, Mathematics, or a related field with a focus on deep learning, computer vision, or signal / image processing.

    • Soft Skills :

  • Strong analytical and problem-solving skills with a keen attention to detail.
  • Excellent communication and collaboration skills to work effectively with interdisciplinary teams and stakeholders.
  • Highly organized, self-motivated, and capable of managing multiple priorities in a fast-paced environment.
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    Machine Learning Engineer • Warren, MI, US