Senior Data Scientist - Machine Learning/Deep Learning

• Conduct in-depth research, stay updated on the latest advancements, and translate cutting-edge ideas into real-world solutions.
• Read, evaluate, and implement research papers, especially in the Generative AI and deep learning domains.
• Mentor and guide junior data scientists and interns through project execution and best practices.
• Design, develop, and optimize ML and deep learning models to solve complex business problems.
• Collaborate with cross-functional teams to transform data into insights and models into scalable products.
• Contribute to technical decision-making and drive innovation within the team.
  

Required Skills & Experience

• 5 to 7 years of experience in Data Science or Machine Learning roles.
• Strong foundation in Statistics, Probability, and ML fundamentals.
• Advanced proficiency in Python and hands-on experience with data science workflows.
• Practical expertise with ML/DL libraries such as Scikit-learn, TensorFlow, Keras, and PyTorch.
• Strong understanding of ML algorithmsLinear/Logistic Regression, Decision Trees, Gradient Descent, SVMs, etc.
• Deep experience with Transformer architectures and working with Large Language Models (LLMs).
• Hands-on experience with LLM application frameworks such as LangChain or LlamaIndex.
• Proven ability to implement theoretical models into clean, production-ready code.
• Demonstrated experience delivering high-impact, end-to-end AI/ML solutions.