Principal Data Scientist

8+ years of hands-on experience leveraging large-scale data to build ML/DL models with Python. PhD-level expertise in Recommendation Systems, Natural Language Processing, Computer Vision, Speech and Audio, Time-series, Reinforcement Learning, or Graph Learning. Deep understanding of the ML development lifecycle and optimization trade-offs. Proven track record of designing, implementing, optimizing, and scaling AI-empowered applications. Solid experience with MLOps practices for production deployment and maintenance. Excellent communication and collaboration skills.

Architect scalable, reliable, and high-performance AI applications and ML/DL algorithms. Tech-lead the AI tribe to deploy state-of-the-art AI models into production. Inspire and mentor fellow data scientists. Apply emerging technologies to enhance capabilities and disrupt the industry. Define the company-wide AI technical and product roadmap. Demonstrate autonomy on high-complexity projects from ideation to operationalization.