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Apple Machine Learning Engineer Computer Vision India, Karnataka, Bengaluru 425572317
18.11.2024
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Description
- Develop and deploy scalable Computer Vision and Machine Learning algorithms on local and cloud-based inferencing platforms.- Perform rapid prototyping to design algorithms for challenging real world manufacturing problems in the domain of Intelligent Visual Inspection.- Leverage Large Language Models to automate document analysis, knowledge extraction, and process optimization within manufacturing workflow.- Fine-tune LLMs for domain-specific applications such as improving operational documentation, production reports, and automating technical analysis.
Minimum Qualifications
- Experience developing deep learning models such as CNNs, Vision Transformers, or YOLO for image-based tasks in production systems.
- Proven research and practical experience in developing algorithms for image processing, content-based video/image analysis, object detection, segmentation and tracking
- Proven experience in fine-tuning LLMs for domain-specific use cases such as document analysis and operational efficiency.
- Master’s in computer science, Machine Learning, or higher level degree is preferred with of 3+ years of related industry experience in Machine Learning, Computer Science, Data Science or related fields.
- iOS CoreImage/CoreML and native App development experience is a big plus.
- Experience deploying ML models in cloud environments (AWS, GCP, or Azure) for scalable production use.
Preferred Qualifications
- Strong grasp of deep learning principles in both Computer Vision and Natural Language Processing (NLP).
- Familiarity with LLM architectures like BERT, GPT, and experience fine-tuning these models for improved performance in manufacturing settings.
- Knowledge of machine learning and Deep Learning libraries such as PyTorch, OpenCV, Hugging Face, is essential.
- Proven ability to implement, improve, debug, and maintain machine learning models.
- Familiar with version control systems such as Git.
- Strong optimization and debugging skills.
- Self-motivated, responsible, excellent written and verbal interpersonal skills.
- Experience with handling and visualizing very large data sets and creating performance reports.
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