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Lead/Senior Machine Learning Engineer or Data Scientist
2 months ago
Revolutionizing Food Waste Management with AI and Computer Vision
Job Type: Full-time (Remote)
We're a Stealth Startup on a mission to eliminate food waste with innovative AI and computer vision technology. Our system helps businesses track and reduce waste, optimize offerings, and boost profits. If you're passionate about making a difference and want to be part of a forward-thinking team shaping the future of food management, we want to hear from you.
Key Responsibilities:
- Collaborate with customers to design and implement tailored solutions for food waste reduction and supply chain optimization.
- Lead the development of computer vision and machine learning projects from start to finish, focusing on image recognition and object detection algorithms.
- Deploy robust models using TensorFlow, PyTorch, and OpenCV to drive business growth and reduce waste.
- Work with large datasets to create competitive models that drive business outcomes and improve efficiency.
- Deploy machine learning solutions on platforms like Google Cloud and Nvidia to ensure seamless integration and scalability.
- Partner with Product and Software teams for smooth deployment and monitoring of AI-powered solutions.
- Advise on MLOps best practices and ensure stability and scalability in ML projects to drive business success.
What We're Looking For:
- 3+ years of experience as a Data Scientist with a focus on machine learning and computer vision.
- 5+ years in machine learning, model development, and tuning with a strong background in deep learning and neural networks.
- Proficiency with Nvidia, Google Cloud, and AWS platforms for cloud-based solutions and data processing.
- Experience deploying CV models, especially neural networks, in production to drive business outcomes and improve efficiency.
- Strong communication skills and a track record of deploying scalable solutions that drive business growth and reduce waste.
