ML Engineer Job

Key responsibilities:

1. Develop and fine-tune machine learning models for computer vision tasks including object detection classification segmentation and anomaly detection
2. Leverage advanced architectures such as CNNs Transformers and GANs to improve model accuracy and efficiency
3. Implement robust evaluation and testing protocols to ensure model reliability in production environments
4. Design and maintain scalable data pipelines to process large-scale image and video datasets
5. Collaborate with data engineering teams to optimize data ingestion storage and retrieval systems
6. Ensure data quality through preprocessing augmentation and efficient labeling practices
7. Integrate vision models into production systems in collaboration with software and DevOps teams
8. Optimize models for deployment across diverse platforms including cloud and edge devices
9. Continuously monitor and improve model performance in real-world applications
10. Stay up-to-date with the latest advancements in computer vision and deep learning
11. Prototype and evaluate new frameworks tools and techniques to maintain technical leadership
12. Document findings and share insights with internal teams to promote innovation and best practices
13. Partner with product and engineering teams to align model capabilities with product requirements
14. Document architecture decisions technical approaches and experimental results clearly
15. Mentor junior engineers and contribute to team learning and development initiatives

Requirements:

1. Hold a bachelor's or master's degree in Computer Science Electrical Engineering Mathematics or a related field
2. Have a minimum of 3 years of hands-on experience in machine learning with a specialization in computer vision
3. Be proficient in Python and experienced with frameworks like PyTorch TensorFlow or similar
4. Demonstrate a strong understanding of computer vision techniques deep neural networks and image processing
5. Have experience working with large-scale image or video datasets and deploying models to production
6. Exhibit excellent analytical and problem-solving skills with a proactive mindset for innovation

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