What makes you a great fit:

• Design, develop, and deploy machine learning and deep learning models.
• Collaborate with cross-functional teams to understand business requirements and identify AI solutions.
• Conduct extensive data collection, preprocessing, and analysis to improve model accuracy and uncover meaningful patterns.
• Implement and adapt data science methods to solve new challenges in a variety of domains including finance, operations, and customer insights.
• Implement best practices in machine learning development and maintain high standards of code quality and system reliability.
• Continuously monitor, evaluate, and adjust the performance of AI systems in production to ensure optimal effectiveness.
• Stay abreast of the latest AI, machine learning, and data science research and techniques to incorporate into existing and future projects.
• Provide guidance and mentorship to junior engineers and interns on best practices in AI, machine learning, and data science
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• 4-5 years of experience in AI/ML engineering, with a strong focus on programming and data science.
• Proficient in Python and familiar with libraries such as TensorFlow, PyTorch, Keras, Scikit-learn, and Pandas.
• Demonstrated experience in deploying AI models into production environments and identifying patterns in complex data sets.
• Strong analytical skills with a proven ability to apply data science techniques to complex problems.
• Excellent communication skills and ability to work collaboratively in a team environment.
• Experience with cloud platforms (AWS, Azure, Google Cloud) is preferred.
• Knowledge of Docker, Kubernetes, and CI/CD pipelines is advantageous.