Machine Learning Engineer - AI
September 28, 2023
Description
•Design, develop, and implement state-of-the-art machine-learning algorithms and models to enhance our platform's capabilities and enable customers to create realistic content more efficiently. •Utilize AI techniques to enable content generation through various modalities, including text, images, and drawings, enabling users to create 3D models seamlessly. •Conduct thorough research, staying up-to-date with the latest advancements in machine learning and AI, and integrating them into our platform where appropriate. •Conduct rigorous testing and validation of machine-learning models, ensuring their robustness and reliability in real-world scenarios. •Document research findings, methodologies, and implementations in clear and concise reports and presentations. •Optimize and fine-tune machine-learning models for performance, accuracy, and scalability. •Collaborate with our cross-functional team to integrate machine-learning models into our existing infrastructure, ensuring seamless deployment and scalability.
Requirements
•Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. •5+ years of Total Experience and 3+ years relevant exp in developing and training generative AI models using frameworks such as TensorFlow, PyTorch, or Keras. •Solid understanding of machine-learning principles, algorithms, and techniques, with hands-on experience in developing and implementing machine-learning models. •Proficiency in training image-based machine-learning models, with a proven track record of successfully applying them to real-world problems. •Must have a solid understanding of Generative AI models, including GANs, Transformers, Autoencoders, and their variations. •Proficient in programming languages commonly used in machine learning, such as Python. Additionally, being familiar with languages like C++ and MATLAB, which are often employed in machine learning research and development would be an add-on.
Benefits
•Build products from scratch and be part of decision-making with the TOP authorities •Hybrid Work Mode •Open culture with flexible timings •Learning, Growth & Onsite Opportunities •Be on the cutting edge of the 3D revolution
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