Responsibilities

• 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.