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Donaldson is committed to solving the world’s most complex filtration challenges. Together, we make cool things. As an established technology and innovation leader, we are continuously evolving to meet the filtration needs of our changing world. Join a culture of collaboration and innovation that matters and a chance to learn, effect change, and make meaningful contributions at work and in communities.
Key Responsibilities:
- · Develop and implement machine learning/deep learning models for computer vision tasks, including image processing, object detection, object tracking, and video analysis.
- · Design and build robust end-to-end pipelines for data processing and analysis to solve complex manufacturing challenges.
- · Conduct a thorough statistical analysis to support data-driven decision-making and validate model performance.
- · Collaborate with cross-functional teams to identify opportunities for data-driven solutions and translate business needs into technical requirements.
- · Ensure code quality, maintainability, and best practices in model deployment and integration.
- · Stay updated with the latest trends and advancements in machine learning and computer vision technologies.
- · Optimize model performance and scalability for deployment in production environments.
Required Qualifications:
- · Ph.D. or Master’s (preferred) in Computer Science, Data Science, Engineering, Statistics, or a related field.
- · 2 to 3 years of hands-on experience in Data Science with a strong focus on Deep learning & computer vision.
- · Experience with machine learning and deep learning frameworks, including TensorFlow, PyTorch, or Keras.
- · Strong understanding of ML and DL concepts, and their application in computer vision.
- · Good understanding about the core computer vision tasks and a strong proficiency in image processing techniques such as filtering, thresholding, morphological operations, and image transformations.
- · Experience working with large-scale datasets, annotating images, and creating datasets for training computer vision models.
- · Strong database knowledge and familiarity with version control tools such as GitHub.
- · Familiarity with containerization technologies like Docker is an added advantage.
- · Exposure to Edge Computing and deploying models on edge devices for real-time CV applications is a plus.
Soft Skills:
- · Strong problem-solving mindset and logical thinking.
- · Ability to collaborate effectively with cross-functional teams.
- · Positive attitude toward continuous learning and acquiring new skills.
- · Excellent communication skills, both verbal and written.
- · Strong teamwork and interpersonal skills.
- · Managing skills: Ability to prioritize tasks effectively and manage multiple projects simultaneously.
Employment opportunities for positions in the United States may require use of information which is subject to the export control regulations of the United States. Hiring decisions for such positions are required by law to be made in compliance with these regulations. Applicants for employment opportunities in other countries must be able to meet the comparable export control requirements of that country and of the United States.
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