Data Scientist

• Develop and implement machine learning models using Python and SQL.
• Apply algorithms such as regression, classification, and clustering to solve real-world problems.
• Utilize Generative AI (GenAI) technologies and applications in various projects.
• Perform data preprocessing tasks, including cleaning, transformation, and preparation for modeling.
• Work with leading AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Deploy, monitor, and maintain models in production environments, ensuring robust CI/CD pipelines.
• Collaborate with cloud platforms, particularly AWS, to enhance model performance and scalability.

Requirements:

• Strong proficiency in Python and SQL.
• Extensive hands-on experience in implementing machine learning use cases.
• Solid understanding of machine learning algorithms.
• Practical knowledge and experience with Generative AI (GenAI) technologies.
• Expertise in data preprocessing techniques.
• Working knowledge of AI/ML frameworks like TensorFlow, PyTorch, and Scikit-learn.
• Familiarity with model deployment, monitoring, and CI/CD pipelines.
• Experience with cloud platforms, especially AWS, is a plus.