RandomTrees - Senior Generative AI Engineer - Machine Learning

2 weeks ago

Chennai, India RANDOMTREES PRIVATE LIMITED Full time

Company Description :


RandomTrees is a global provider of Data & AI services with a focus on innovation and cutting-edge Generative AI technologies. Our expertise spans across various industries such as life sciences, automotive, and manufacturing. We offer cloud data engineering services, Gen AI products, and accelerators to drive AI transformation in enterprises.

Role Description :


This is a full-time Senior Generative AI Engineer role at RandomTrees located in Chennai, with the flexibility for some remote work. As a Senior Generative AI Engineer, you will be responsible for developing and implementing advanced Generative AI solutions. You will work on cutting-edge AI projects and collaborate with cross-functional teams to drive innovation in handling diverse datasets.


Responsibilities :

- 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.

- Conduct thorough research, staying up-to-date with the latest advancements in machine learning and AI, and integrating them into our platform where appropriate.

- Document research findings, methodologies, and implementations in clear and concise reports and presentations.

- Collaborate with our cross-functional team to integrate machine-learning models into our existing infrastructure, ensuring seamless deployment and scalability.

Requirements :

- Total Experience of 5+ years and 3+ years relevant experience in developing and training Generative AI models.

- Must have a solid understanding of Generative AI models, including GANs, Diffusion models, and Transformers.

- 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.

- Proficient in programming languages commonly used in machine learning, such as Python.

(ref:hirist.tech)

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