Data Scientist- Gen AI
3 weeks ago
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 rizwana@randomtrees.com
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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