Responsibilities: • Design, build, and maintain the ML platform and tools to support the end-to-end machine learning lifecycle. • Work closely with other machine learning engineers to understand their workflows, optimize model training and deployment processes, and ensure the reproducibility of results. • Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform. • Contribute to the evaluation and adoption of new technologies and tools to enhance our machine-learning capabilities. • Provide technical guidance and mentorship to junior team members. • Set examples of outstanding operational excellence. Be the catalyst of step-jump changes. Quals: • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. • 7+ years of industry machine learning experience and excellent software engineering skills. • Strong programming skills in Python, with familiarity with machine learning (ML) frameworks such as TensorFlow or PyTorch. • Experience with ML cloud platforms such as AWS Sagemaker, Databricks, or GCP Vertex AI. • Familiarity with data pipelines and workflow management tools. • Strong communication and collaboration skills. • Passion for learning and staying updated with the latest industry trends in machine learning and platform engineering.