SDE - 2 Professional

We are seeking highly skilled and innovative AI Research Engineers specializing in Generative AI for image, video or 3d applications to join our dynamic team. Your expertise in AI, computer vision, and image processing will be instrumental in advancing our technology products and pushing the boundaries of generative AI. This is an exciting opportunity to work at the forefront of AI product development and contribute to groundbreaking advancements in the field.

Responsibilities

Stay up-to-date with the latest advancements in computer vision, deep learning, generative AI for image, video or 3d applications.
Collaborate with cross-functional teams to understand requirements, identify research development problems, and propose innovative solutions.
Collaborate with product teams to convert technology findings into practical solutions and drive commercialization efforts.
Develop algorithms and models based on state-of-the-art computer vision and machine learning advancements, especially in the areas of generative AI (e.g. image, video, or 3d generation).
Collect and curate large-scale datasets for training and evaluating image/video generation models.
Develop and optimize computational pipelines for image/video generation, ensuring efficiency and scalability.
Contribute to patent filing and intellectual property protection activities, as applicable.

Requirements

Must have AI (Computer Vision) Product development experience in industry, preferably startups.
Must have some experience with building / training Generative AI models such as GANs, NeRFs, VAEs, Diffusion Models etc.
Solid understanding of Signal Processing, Image Processing, Computer Vision and Machine Learning theory and techniques in general.
Ability to comprehend latest research publications, adapt them to solve original problems.
Ability to conduct research and first principles problem solving.
Proficiency in programming using Python and frameworks such as OpenCV, TensorFlow, PyTorch.
Hands-on knowledge of at least one Cloud Platform such as GCP/AWS/Azure etc. Knowledge of complete ML Model Lifecycle Management (especially. Model Optimization and Scaling of Deployed AI solutions).
Experience with large-scale data collection and curation is a plus.
B.Tech / M.Tech in Computer Science / Artificial Intelligence, Electronics / Signal Processing etc. from reputed institute, college or university with relevant internship or work experience.