Design, develop, and deploy state-of-the-art machine learning algorithms and models to solve complex business problems.

Collaborate with cross-functional teams including data scientists, software engineers, and product managers to define requirements and deliver scalable ML solutions.

Lead end-to-end machine learning projects from problem definition and data exploration to model development, evaluation, and deployment.

Architect scalable and efficient ML pipelines on AWS and Azure cloud platforms, leveraging services such as SageMaker, Azure Machine Learning, and Kubernetes.

Optimize model performance and scalability by fine-tuning hyperparameters, conducting feature engineering, and implementing advanced optimization techniques.

Stay abreast of the latest developments in machine learning research and technologies, and integrate new methodologies and frameworks into our existing workflows.

Mentor junior engineers and contribute to the growth and development of the broader ML team.

Drive innovation and contribute to the strategic vision of Zuro AI Inc.’s machine learning capabilities.