Description

You will design and develop scalable machine learning solutions and neural networks using convolutional architectures.

Responsibilities

• Design and develop Convolutional Neural Networks (CNN) and machine learning solutions based on reference architectures.
• Contribute to all phases of algorithm development, including ideation, prototyping, design, and production implementation.
• Build full-stack ML solutions within distributed computing environments and micro-service architectures.
• Implement machine learning models underpinned by big data and cloud technology.

Required Skills

• 5+ years of experience in software engineering and data science.
• Expertise in Computer Vision, specifically Image CNN, Image processing, Mask R-CNN, and Faster R-CNN.
• Proficiency in Python, TensorFlow, Keras, Sci-kit learn, pandas, and NumPy.
• Hands-on experience with OpenCV and Deep Learning frameworks.
• Experience working with Azure and AWS GPU infrastructure.
• Strong fundamentals in data structures, predictive modeling, and big data concepts.
• Ability to design ML applications in distributed systems.
• Background in statistical analysis tools and machine learning APIs.
• Any Graduate degree.

Key Skills

Education

Any Graduate