RandomTrees | Data Scientist- Gen AI

3 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 5Yrs - 8Yrs

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), LangChain, Prompt Engineering or Similar if any (Mandatory)
  • LLM Models: GPT, BERT, T5, RoBERTa, 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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