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Data Science - Lead
JOB_REQUIREMENTS
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- Proficiency in programming languages such as Python.
- Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch, Keras).
- Strong understanding of machine learning algorithms and statistical methods.
- Hands-on experience with data preprocessing, fine tuning, feature engineering, and model evaluation.
- Analytical Skills: Excellent problem-solving skills and the ability to analyze complex data sets.
- Develop and Implement AI Solutions: Design, develop, and deploy AI models and algorithms to solve business problems and improve operational efficiency.
- Generative AI Projects: Work on generative AI projects, including natural language processing (NLP), computer vision, and other related areas.
- Data Analysis and Insights: Analyze large datasets to extract actionable insights and support data-driven decision-making.
- Collaborate with Teams: Work closely with product owners, data scientists, and engineers to integrate AI solutions into platform and services.
- Research and Innovation: Stay updated with the latest advancements in AI and analytics, and apply innovative techniques to enhance our capabilities.
- Performance Monitoring: Monitor and evaluate the performance of AI models and continuously improve them based on feedback and new data.
- Documentation and Reporting: Document processes, methodologies, and results, and present findings to stakeholders.
- Education: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Experience: Minimum of 3 years of experience in AI, generative AI, and analytics.
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