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Machine Learning Engineer-Computer Vision
2 weeks ago
At , we empower online sellers to take control of their brand identity and unleash their creative potential. We're not just another photo editing platform; we're the future of design for busy e-commerce entrepreneurs and small businesses.
Our story began with a spark of innovation. Our founders, veterans of the app industry, built AppyHigh, a powerhouse app publisher responsible for a staggering 650 million downloads. This accomplishment placed them among the top 10 non-gaming publishers in India on Google Play.
But their vision extended beyond apps. They saw the challenges faced by countless online sellers – the constant struggle to create professional-looking product images and graphic designs while juggling a million other tasks. Fueled by this understanding, was born.
We leverage the power of Artificial Intelligence to streamline the design process, saving you precious time and resources. Our intuitive platform empowers you to create stunning visuals in seconds, no design experience required.
is more than a tool, it's your design partner. It's the time you get back to focus on what matters most – growing your business.
Responsibilities:
- Research and develop state-of-the-art machine learning models to automate image editing workflows, including object detection, segmentation, and image generation tasks.
- Leverage generative AI models, such as GANs, Diffusion models, and Transformers (e.g., Stable Diffusion, ControlNet), to automate the creation of banners, product shoots, and other creative formats.
- Fine-tune and optimize generative AI models for specific use cases and datasets.
- Design and implement multi-model deployments in a containerized environment, leveraging orchestration tools like Docker and Kubernetes.
- Configure and maintain systems for monitoring and alerting of ML services and infrastructure.
- Integrate real-time data streaming and processing components, such as Apache Kafka, to enable efficient and scalable data pipelines.
Requirements:
- Solid understanding of generative AI models, including GANs, Diffusion models,
- Transformers, Stable Diffusion, and ControlNet.
- Experience with platforms like Automatic1111 and ComfyUI.
- Prior experience in fine-tuning GAN models and LoRAs using prepared datasets.
- Optimise and deploy generative models in production environments.
- In-depth knowledge of computer vision algorithms and image processing techniques.
- Proven experience with common computer vision tasks, such as object detection,
- image segmentation, and tracking.
- Good To Have:
- Experience with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes).
- Experience with frameworks like Triton Inference Server, TorchServe etc.
- Familiarity with monitoring tools like Prometheus and Grafana is a plus.
- Experience with data streaming platforms like Apache Kafka is preferred.
- A good understanding of cloud computing platforms is an advantage.
If you're passionate about pushing the boundaries of AI in the realm of computer vision and generative models, we'd love to hear from you. Join our team and help shape the future of e-commerce design
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