Machine Learning

Machine Learning & Computer Vision EngineerMachine Learning & Computer Vision Engineer

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We are seeking a highly skilled Machine Learning and Computer Vision Engineer with a minimum of 2 years of hands-on experience to join our dynamic team. In this role, you will be responsible for developing and deploying machine learning models and computer vision algorithms that solve complex real-world problems. You will work closely with a team of engineers, data scientists, and product managers to bring cutting-edge technology into production environments.

Requirements

Model Development: Design, develop, and optimize machine learning models, particularly in the field of computer vision, for tasks such as object detection, image segmentation, and facial recognition.

• Algorithm Implementation: Implement computer vision algorithms using frameworks such as OpenCV, TensorFlow, PyTorch, or similar
• Data Processing: Prepare and preprocess large datasets, including data augmentation and transformation techniques to enhance model performance
• Model Evaluation: Evaluate model performance using various metrics and techniques, including cross-validation, to ensure high accuracy and robustness
• Deployment: Deploy machine learning models in production environments, ensuring they are scalable, efficient, and reliable
• Collaboration: Work closely with cross-functional teams to integrate models into products and systems, providing technical support and troubleshooting as needed
• Research: Stay up-to-date with the latest advancements in machine learning and computer vision, and apply relevant findings to improve existing solutions
• Documentation: Maintain clear and comprehensive documentation of models, algorithms, and processes to support ongoing maintenance and future development
  
  

Qualifications

• Education: Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or a related field. A Master's degree is a plus
• Experience: At least 3 years of experience in machine learning and computer vision, with a proven track record of developing and deploying successful models
• Technical Skills:
• Proficiency in Python and experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch
• Strong understanding of computer vision techniques and libraries like OpenCV
• Experience with deep learning techniques, including convolutional neural networks (CNNs) and transfer learning
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and experience deploying models in production environments
• Strong programming skills with a focus on clean, efficient, and well-documented code
• Soft Skills:
• Strong problem-solving abilities and analytical thinking
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
• Ability to work independently as well as in a collaborative team environment
• Strong organizational skills with attention to detail
  
  

Preferred Qualifications

Experience with edge computing and deploying models on edge devices.

• Knowledge of reinforcement learning, GANs, or other advanced machine learning techniques
• Familiarity with version control systems such as Git

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionOther
• IndustriesIT Services and IT Consulting

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