Design and implement machine learning algorithms and models to solve complex business problems.
Collaborate with cross-functional teams to understand data requirements and develop predictive models.
Conduct research to identify emerging trends and applications of AI and machine learning technologies.
Evaluate and improve model performance through rigorous testing and optimization techniques.
Develop and maintain scalable data pipelines and architectures for machine learning applications.
Deploy machine learning models into production environments and ensure their reliability and performance.
Document technical processes, model development approaches, and project outcomes for knowledge sharing and future reference.
Requirements
Bachelor's or Master's degree in Computer Science, Mathematics, Data Science, or a related field.
Proven experience working with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Strong programming skills in languages such as Python, R, or Java, with a solid understanding of data structures and algorithms.
Experience with data manipulation and analysis using tools like SQL, Pandas, or NumPy.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions.
Knowledge of statistical methods and their application in model evaluation and validation.
* Excellent problem-solving skills, with the ability to work independently and as part of a team.
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