Data scientist- gen ai

2 weeks ago

Chennai, India RandomTrees Full time

Immediate #HIRING for a highly motivated and experienced Data Scientist -LLM & Gen AI to join our growing team. We’re a leading software company specializing in Artificial Intelligence, Machine Learning, Data Analytics, Innovative data solutions, Cloud-based technologies. If you're passionate about building robust applications and thrive in a dynamic environment, please share your resume at About the Role: Experience: Min 5 Yrs - 8 Yrs Location: Chennai / Hyderabad - Hybrid Notice Period: Immediate or Max 10 Days Employment Type: Full-Time Job Overview: Mandate Skillset: Gen AI, LLM, Python Programming Languages: Python (Mandatory) LLM Technologies: Retrieval-Augmented Generation (RAG), Lang Chain, Prompt Engineering or Similar if any (Mandatory) LLM Models: GPT, BERT, T5, Ro BERTa, XLNet or Similar if any (Mandatory - any) 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.

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