Gurugram, Haryana, India
Information Technology
Full-Time
Aftershoot
Overview
We are looking for an experienced Machine Learning Engineer with deep expertise in Computer Vision and Generative AI to join our team in New Delhi, India, and own the end-to-end development and improvement of various innovative problem statements. You will take full ownership of projects, from ideation to delivery, ensuring successful deployment as well as ML monitoring post-launch.
Responsibilities
Responsibilities
- Own the entire lifecycle of the Vision and GenAI problem statement, from initial concept throughout deployment.
- Research, design, develop, and deploy robust and scalable ML systems for various Vision use-cases.
- Optimize model training and inference pipelines to maximize GPU utilization and minimize costs.
- Collaborate with Product, Backend, and Platform teams to define project timelines, ensure alignment of business goals, and drive strong execution.
- Solid foundation in Deep Learning, Computer Vision, and Generative AI, with a proven experience of 4-6 years, preferably in a fast-paced startup environment.
- In-depth and practical knowledge of CNNs, GANs, VAEs, Diffusion models, and Inpainting methods, image processing techniques, text-to-image and image-to-image generation architectures, etc.
- Strong programming skills in Python and proficiency with ML frameworks (e., Tensorflow, Pytorch, JAX) - create code that is understandable, simple, clean, and easily shared with others.
- Experience in deploying Vision models on edge devices, optimizing for resource constraints.
- Knack for staying up to date with the latest research and trying out unconventional, out-of-the-box ideas.
- Passion for problem-solving and creative thinking, with the ability to break down complex and abstract problems into actionable items.
- Self-motivated to build, with an ability to thrive with minimal oversight and process.
- Experienced with 3D computer vision, video processing, and text-to-video, image-to-video generation.
- Knowledge of the Rust programming language for implementing the inference pipelines.
- Experienced working with highly skewed and imbalanced data.
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
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