Job Description

• Strong Python Expertise: Proven experience in developing, optimizing, and scaling Python-based applications, with a focus on implementing complex algorithms and handling large datasets.
• Must be proficient in working with popular Python libraries such as NumPy, TensorFlow, PyTorch, and Scikit-learn.
• Research Paper Interpretation & Implementation: Ability to read and understand academic research papers, implement the proposed algorithms or models in Python, and demonstrate their functionality through well-documented code and reproducible experiments.
• Experience in Generative AI: Hands-on experience in developing and fine-tuning generative AI models (e.g., GANs, VAEs, transformers). Experience with state-of-the-art generative models is a plus.
• Open Source Contributions: Proven track record of contributing to open-source projects, with a preference for contributions in AI or machine learning-related projects. Familiarity with Git and collaboration tools for distributed software development.
• Problem-Solving & Communication Skills: Strong analytical and problem-solving abilities with the capacity to present complex technical solutions clearly.
• Ability to work closely with cross-functional teams, including data scientists, product managers, and researchers.

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