Job description
7 Technical Skills for AI/Machine Learning Role_Freelance:
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Solid Foundation: A Bachelor's degree (or Master's preferred) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field. This provides the core understanding of algorithms, data structures, and programming fundamentals essential for AI development.
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AI/ML Expertise: 5+ years of experience in developing AI/ML solutions. This demonstrates a proven track record of applying AI concepts and techniques to solve real-world problems.
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Advanced Programming: Proficiency in Python, R, and SQL is essential. Additionally, knowledge of relevant libraries and frameworks like TensorFlow, Keras, and Scikit-learn allows for building and manipulating complex AI models.
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Large Language Model (LLM) Optimization: Ability to optimize and fine-tune LLMs for performance, accuracy, and user engagement. This involves techniques like data selection, hyperparameter tuning, and bias mitigation.
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Generative AI Development: Experience in designing, developing, and implementing generative AI models, such as those used for text generation, image creation, or music composition.
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Research and Experimentation: Skills in conducting research and experimentation to improve the performance of AI systems. This includes evaluating different algorithms, analyzing results, and iteratively refining models.
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Cloud and Data Pipelines: Knowledge of cloud computing services (AWS, Azure, Google Cloud) for data storage, processing, and analysis. Additionally, extensive experience with Databricks for developing and managing scalable data pipelines and data workflows is highly valuable for handling large datasets efficiently.
