ML Engineer
1 month ago
Role: Sr. ML Engineer - Computer Vision Location: Bengaluru Notice: Immediate to 30 Days Experience: 6 to 8 Years
JD:
Role Overview:
The Senior Machine Learning Engineer will be at the forefront of developing and refining the core AI algorithms and Machine Learning models that power our plant disease detection application. This role involves extensive work with image processing and analysis, leveraging our vast disease image database to enhance the accuracy and efficiency of disease diagnosis.
Key Responsibilities:
Lead the development and optimization of Computer Vision algorithms and ML models for identifying and classifying crop diseases. Work with a rich dataset of images, enhancing and expanding our machine learning capabilities. Implement advanced image processing techniques to accurately analyze crop images uploaded by farmers. Continuously refine ML models to improve accuracy and adapt to new disease patterns, ensuring the application remains at the cutting edge of agritech solutions. Collaborate with cross-functional teams to integrate AI/ML features into the application, maintaining a focus on user-centric design and global scalability. Contribute to the expansion of our disease image database and data library, ensuring comprehensive coverage of crop diseases. Stay abreast of the latest advancements in AI, ML, and Computer Vision, applying innovative techniques to advance our solution.
Qualifications:
Bachelors or Masters degree in Computer Science, AI, Machine Learning, or a related field. 6-8 years of experience in machine learning and computer vision, with a proven track record in image processing and analysis. Proficient in programming languages relevant to AI/ML development (e.g., Python, TensorFlow, PyTorch).
Experience with large-scale image datasets and familiarity with data augmentation techniques. Strong understanding of the latest ML modeling techniques and their practical application. Excellent problem-solving abilities and a commitment to innovation in the agritech sector. Fluent in English, with multilingual capabilities being a significant plus.
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