Senior Data Scientist

Responsibilities:
Design, develop, and optimize recommendation systems to enhance user experience and
engagement across platforms.
Build and deploy chatbots with advanced NLP capabilities for automating customer interactions and improving business processes.
Lead the development of generative AI solutions, including content generation and automation.
Research and apply Large Language Models (LLMs) like GPT, BERT, and others to solve business-specific problems and create innovative solutions.
Collaborate with engineering teams to integrate machine learning models into production systems, ensuring scalability and reliability.
Stay updated on the latest advancements in AI and ML technologies, proposing new techniques and tools to enhance our product capabilities.
Mentor junior data scientists and engineers, providing guidance on best practices in AI/ML model development and deployment.
Requirements:
5+ years of experience in data science or machine learning, with a focus on building and deploying AI models.
Strong expertise in designing and developing recommendation systems and working with collaborative filtering, matrix factorization, and content-based filtering techniques.
Hands-on experience with chatbots using Natural Language Processing (NLP) and conversational AI frameworks.
In-depth understanding of generative AI, including transformer-based models and GANs.
Experience working with Large Language Models (LLMs) such as GPT, BERT, T5 etc.
Proficiency in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Strong programming skills in Python and libraries such as NumPy, Pandas, Hugging Face, and NLTK.
Experience with cloud platforms like AWS, AWS Bedrock, GCP, or Azure for deploying and scaling machine learning models.

Experience
5-9 yrs