...develops tools, APIs, and AI models for geospatial analysts and data scientists, enabling them to leverage the latest research in spatial data... ...such as PyTorch
Develop APIs and model ...
...deep learning models for a wide variety of tasks spanning object detection, segmentation, tracking, synthesise and so on.
~ Continuously improve the quality and performance of existing deep learning models by ap...
...docker technology is a bonus.
Responsibilities:
~ Contribute across dierent stages of deep learning model development including data collection, data cleaning, model development, validation and deployment.
...
...Design and develop deep learning models and algorithms for various applications, such as computer vision, natural language processing, and speech recognition.
Collect, preprocess, and analyze large-scale datasets to...
Responsibilities:
Design and develop deep learning models and algorithms for various applications, such as computer vision, natural language processing, and speech recognition.
Collect, preprocess, and analyze large-scale datasets to train deep neura...
Responsibilities
Job Description
Understand and elaborate the use case
Research and review academic papers related to the use case
Create blueprints, solution architecture using machine learning models, design the solution and create the...
...talented Deep Learning Engineer with 3-5 years of experience to join our team. The ideal candidate will have a strong background in computer vision, natural language processing (NLP), audio processing, and generativ...
Responsibilities:
Design and develop deep learning models and algorithms for various applications, such as computer vision, natural language processing, and speech recognition.
Collect, preprocess, and analyze large-scale datasets to train dee...
...years of work experience or
➔ Ph.D. in Computer Science with 12+ years of work experience
➔ Computer science, Physics, Electronic Engineering, Software Engineering.
Programming and Deep Learning Skills:
➔ S...
Responsibilities:
Design and develop deep learning models and algorithms for various applications, such as computer vision, natural language processing, and speech recognition.
Collect, preprocess, and analyze large-scale datasets to train deep neura...
