Optimal Staffing
Machine Learning Engineer
Base pay range: $80,000.00/yr - $100,000.00/yr
Key Responsibilities
Design, develop, and implement deep learning models using architectures such as CNNs, RNNs, and GANs, focusing on state‑of‑the‑art computer vision and image/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
1-3 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.
Strong background in machine learning and deep learning, particularly in signal and image processing applications.
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.
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.
Seniority level Associate
Employment type Full-time
Job function Information Technology
Industries Motor Vehicle Manufacturing
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Key Responsibilities
Design, develop, and implement deep learning models using architectures such as CNNs, RNNs, and GANs, focusing on state‑of‑the‑art computer vision and image/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
1-3 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.
Strong background in machine learning and deep learning, particularly in signal and image processing applications.
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.
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.
Seniority level Associate
Employment type Full-time
Job function Information Technology
Industries Motor Vehicle Manufacturing
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