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Freelance Computer Vision Deep Learning Engineer Jobs in Michigan

Optimal Inc.

ML Engineer

Warren, MI · On-site

Machine Learning Engineer Job Summary We are seeking a Machine Learning Engineer with strong expertise in machine learning, deep learning, and computer vision. The ideal candidate will have ...

New

Optimal Inc.

ML Engineer

Warren, MI · On-site

Machine Learning Engineer Job Summary We are seeking a Machine Learning Engineer with strong expertise in machine learning, deep learning, and computer vision. The ideal candidate will have ...

Eccalon LLC

AI Expert Robotics - onsite

Detroit, MI

Collaborate with mechanical, electrical, and software engineering teams to ensure end-to-end system ... Experience with computer vision, deep learning, or reinforcement learning * Familiarity with ...

Tata Consultancy Services

AI Researcher

Detroit, MI

Research, develop, and prototype novel algorithms in computer vision, deep learning, and autonomous ... Partner with cross-functional teams in AI, robotics, and systems engineering to co-create ...

Keltia Design

Contract Software Engineer

Troy, MI

Contract Software Engineer (Irl & US) Responsibilities: * Define, own and standardize the product ... computer vision, deep learning and sensor fusion with ultrasonics, radar and lidar * Ensure ...

Eccalon LLC

Machine Learning Engineer

Detroit, MI

Required Qualifications * BS. in Computer Science, or related field. * 3+ years of professional ... Mastery of Deep Learning fundamentals and statistics underlying Machine Learning. * History of ...

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Freelance Computer Vision Deep Learning Engineer information

What engineers make $500,000?

Senior computer vision deep learning engineers with extensive experience, advanced skills in neural networks, and proficiency in frameworks like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-demand industries such as autonomous vehicles, AI research, or tech giants. Achieving this level often requires a strong educational background, specialized certifications, and a track record of impactful projects.

Is computer vision a dead field?

Computer vision remains a vibrant and evolving field with ongoing research and practical applications, especially in areas like autonomous vehicles, medical imaging, and security. Freelance computer vision deep learning engineers are in demand for developing models using tools like TensorFlow and PyTorch, and staying current with advancements is essential for success.

Is ML full of coding?

Machine learning (ML) roles, including those for a freelance computer vision deep learning engineer, typically involve significant coding, especially in languages like Python and frameworks such as TensorFlow or PyTorch. Strong programming skills are essential for developing, training, and deploying models, although understanding algorithms and data preprocessing are also important components of the job.

Is ML a high paying job?

A career as a machine learning engineer, including roles in computer vision and deep learning, is generally considered high paying due to the specialized skills and demand for expertise in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but these roles often offer competitive compensation compared to other tech positions.
What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in Michigan? The most popular types of Computer Vision Deep Learning Engineer jobs in Michigan are:
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Freelance Computer Vision Deep Learning Engineer jobs near you
Senior Perception Engineer - Computer Vision & 3D Deep Learning IRC295016

Senior Perception Engineer - Computer Vision & 3D Deep Learning IRC295016

GlobalLogic

Northville, MI • On-site

$99K - $136K/yr

Full-time

Posted 8 days ago

GlobalLogic rating

7.5

Company rating: 7.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

123rd of 191 rated software companies

Job description

Job Summary:
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest companies. They are seeking a Senior Perception Engineer specializing in computer vision and deep learning, responsible for designing and implementing algorithms for object detection and segmentation using camera and LiDAR data fusion.
Responsibilities:
• Design and implement computer vision algorithms for object detection and segmentation using camera and LiDAR data fusion.
• Develop deep learning models for 2D and 3D object detection, including implementation and optimization of YOLO, Faster R-CNN, SSD, and transformer-based architectures.
• Create and optimize LiDAR point cloud processing pipelines using PCL and Open3D for 3D object detection and segmentation.
• Implement sensor fusion techniques to combine camera and LiDAR data for enhanced object detection accuracy.
• Develop instance and semantic segmentation algorithms using state-of-the-art models like Mask R-CNN, U-Net, and DeepLab.
• Implement and optimize deep learning models specifically designed for LiDAR point clouds, including PointNet, PointNet++, and other 3D neural network architectures.
• Develop robust perception algorithms that maintain performance in adverse weather conditions such as rain, snow, fog, and low-light scenarios.
• Build and maintain computer vision pipelines using OpenCV for image preprocessing, feature extraction, and geometric transformations.
• Design and implement multi-object tracking systems using Kalman filtering, SORT, and DeepSORT algorithms.
• Work with ROS2 for integration and deployment of perception algorithms.
• Optimize deep learning models for edge deployment and real-time inference performance.
• Develop robust evaluation metrics and testing frameworks for object detection systems.
• Collaborate with cross-functional teams to integrate perception algorithms into larger autonomous systems.
• Stay up-to-date with industry trends and emerging technologies to innovate and improve perception systems.
Qualifications:
Required:
• Strong expertise in computer vision and deep learning for object detection and segmentation tasks.
• Proficiency in deep learning frameworks (PyTorch and TensorFlow) with hands-on experience implementing detection models (YOLO, Faster R-CNN, SSD, RetinaNet, Detectron, etc.).
• Extensive experience with OpenCV for image processing and computer vision applications.
• Solid background in 3D perception using LiDAR point clouds; proficiency with PCL and Open3D libraries.
• Familiarity with LiDAR-specific deep learning models such as PointNet, PointNet++, VoxelNet, and other point cloud neural network architectures.
• Experience in developing and improving perception models for adverse weather conditions (rain, snow, fog) including domain adaptation and robust feature extraction techniques.
• Experience with sensor fusion techniques for combining camera and LiDAR data streams.
• Strong programming skills in Python and C++ for algorithm development and optimization.
• Experience with model optimization techniques for real-time inference.
• Familiarity with 3D geometry, coordinate transformations, and spatial data processing.
• Knowledge of evaluation metrics for object detection and tracking systems (mAP, IoU, custom metrics, etc.).
Company:
GlobalLogic is a product development services company that specializes in chip-to-cloud software engineering. It is a sub-organization of Hitachi. Founded in 2000, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What GlobalLogic employees say

Pay

Hours and flexibility

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