Sr. Machine Learning Solutions Architect

Required Qualifications

• Experience in specific industry verticals or problem spaces where machine learning and data platforms are applied at scale (e.g., personalization, forecasting, risk modeling, operations optimization).
• Hands-on experience with ecosystem technologies and cloud platforms such as Spark, Databricks, Snowflake, AWS, Azure, or GCP, and experience working with ML tooling such as AWS SageMaker, Azure ML, and MLflow, as well as libraries such as TensorFlow, Keras, scikit-learn, or H2O.
• Prior experience working in global or remote teams and partnering across US, LATAM, and/or India.
• Contributions to open source technology stacks, technical communities, speaking, or writing are a plus.
• A Master’s or other advanced degree in data science, computer science, or a related field.
• Experience in specific industry verticals or problem spaces where machine learning and data platforms are applied at scale (e.g., personalization, forecasting, risk modeling, operations optimization).
• Hands-on experience with ecosystem technologies and cloud platforms such as Spark, Databricks, Snowflake, AWS, Azure, or GCP, and experience working with ML tooling such as AWS SageMaker, Azure ML, and MLflow, as well as libraries such as TensorFlow, Keras, scikit-learn, or H2O.
• Prior experience working in global or remote teams and partnering across US, LATAM, and/or India.
• Contributions to open source technology stacks, technical communities, speaking, or writing are a plus.
• A Master’s or other advanced degree in data science, computer science, or a related field.