Machine Learning Visionary

3 days ago

Noida, Uttar Pradesh, India beBeeVision Full time ₹ 15,00,000 - ₹ 25,00,000

Job Title: Machine Learning Visionary

Overview:

We are seeking a highly skilled Machine Learning Visionary to join our team and lead the development of cutting-edge deep learning models for computer vision applications. As a key member of our team, you will be responsible for designing, training, and optimizing complex neural networks to achieve state-of-the-art performance in tasks such as face identification, speaker identification, fingerprint recognition, and more.

Key Responsibilities:

- Design and develop novel deep learning architectures for image classification, object detection, and segmentation tasks.
- Implement and optimize model compression techniques like quantization, pruning, and knowledge distillation to deploy models on edge devices efficiently.
- Work with lightweight model architectures such as MobileNet, and integrate models using ONNX, TensorFlow Lite (TFLite), and CoreML for seamless deployment.
- Collaborate with cross-functional teams to integrate models into production pipelines and ensure smooth product launches.
- Automate data preprocessing, annotation, and augmentation workflows to streamline model development and testing.
- Maintain thorough documentation of experiments, code, and deployment processes for reproducibility and knowledge sharing.

Required Skills and Qualifications:

- Solid understanding of deep learning fundamentals and architectures, particularly CNNs, RCNNs, and Vision Transformers.
- Hands-on experience with deep learning frameworks : PyTorch / TensorFlow, and Keras.
- Practical experience in optimizing models for deployment using ONNX, TFLite, and CoreML.
- Experience in model compression techniques : quantization, pruning, and knowledge distillation.
- Strong grasp of Python and libraries such as OpenCV, NumPy, Pandas, scikit-learn.
- Familiarity with GPU computing and libraries like CUDA, cuDNN, and TensorRT.
- Exposure to speech signal processing and audio embedding is a plus.
- Knowledge of JavaScript is an added advantage.

Benefits:

- Opportunity to work on challenging projects and collaborate with top talent in the field.
- Comprehensive training and mentorship programs to help you grow professionally and personally.
- Flexible work arrangements and a supportive work environment that encourages work-life balance.

How to Apply:

If you are a motivated and experienced machine learning professional looking for a new challenge, please submit your resume and cover letter to apply for this exciting opportunity.

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