Senior Data Scientist

Key Responsibilities:

• Design and optimize NLP solutions: Develop domain-specific AI/ML solutions using open-source frameworks like Hugging Face Transformers, SpaCy, and FastText.
• Hybrid Neural Network Architectures: Innovate by building hybrid architectures that combine pre-existing or self-developed backbones for advanced problem-solving.
• Computer Vision Applications: Implement state-of-the-art algorithms and techniques using libraries such as TensorFlow, PyTorch, and OpenCV.
• Mathematical Modeling: Apply vector and differential calculus, including parametric and complex parametric functions, to model and solve advanced AI problems.
• GPU Optimization: Optimize neural network code for GPU architectures, facilitating efficient use of accelerators like NVIDIA GPUs and integrating Triton backends with PyTorch.
• Integration and Deployment: Use tools like FastAPI, Streamlit, and Flask to deploy AI/ML models and integrate them into user-friendly applications; Develop SDK to integrate into existing applications of the business
• Mentorship and Leadership: Guide and mentor a data science team, fostering a collaborative environment and championing the use of open-source technologies.
• Stay Current with AI Trends: Continuously explore advancements in AI/ML frameworks, libraries, and deployment methodologies, ensuring cutting-edge solutions.
• Maintain and deploy: Git repo management and technical documentation and user documentation