Data Scientist III

Design, build, and maintain scalable data pipelines and cloud-native data infrastructure for analytics and machine learning using platforms like AWS, Azure, or GCP.

Collaborate closely with data scientists, engineers, and business teams to translate data needs into technical requirements and support production deployment and monitoring of ML solutions.

Enhance data quality, lineage, reliability, and troubleshoot issues across the data lifecycle while contributing to Agile practices including code reviews and documentation.

Bachelor's degree in Computer Science, Engineering, Mathematics, or related discipline (or equivalent practical experience).

3+ years of hands-on programming experience primarily in Python focused on building, training, and evaluating machine learning and deep learning models.

Strong experience with ML frameworks (PyTorch, TensorFlow, Keras, scikit-learn) including neural network architecture design.

Experience with cloud platforms (AWS, Azure, GCP) for ML experimentation, training at scale, and model deployment.

Deep expertise in computer vision techniques including image/video processing, object detection, segmentation, and representation learning.

Proven ability to develop end-to-end ML workflows emphasizing model performance, robustness, and maintainability.

Experience collaborating with data engineers to integrate ML models into production pipelines while maintaining responsibility for model performance and logic.