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.

About us:
At Inspiroz, we solve charter and independent schools’ technology challenges by providing unmatched expertise through strategy, implementation, and managed services. We partner with school leaders and educators to improve the way technology is used to drive transformational student outcomes and achieve operational goals.