Machine Learning Engineer

About the role

Dow has an exciting and challenging opportunity for a Machine Learning Engineer within our Enterprise Data & Analytics organization located in Houston, TX; Midland, MI; or Champaign, IL. As a Machine Learning Engineer in our Data & Analytics Platforms team specializing in data and analytics solutions, you will work with a cross-functional team whose objective is to deliver solutions that drive business value for Dow.

Responsibilities

• Designs and implements pipelines and other workflow infrastructure to meet the requirements for new AI/ML solutions that involve online, batch, or real-time inference

• Deploys and monitors machine learning models in production using Databricks Model Registry, Jobs, and Workspace

• Frequently collaborates with data engineers, DevOps/platform engineers, data scientists, and domain experts as part of a comprehensive MLOps framework to ensure AI/ML solutions are performant, reliable, and maintainable

• Works frequently with application development teams to ensure seamless integrations

• Proficiently with various ML frameworks, such as scikit-learn, TensorFlow, PyTorch, Keras, as well as distributed frameworks like Spark MLlib and Ray

• Performs data analysis, feature engineering, model selection, hyperparameter optimization, and model evaluation using Databricks MLFlow, Delta Lake, and SQL Analytics and other tools as part of the end-to-end ML lifecycle

• Researches and implements new machine learning techniques and methods using Databricks, staying abreast of the latest trends and technologies

• Documents and communicates machine learning results and insights to stakeholders using Databricks notebooks and dashboards

• Understands IT security policies and implements them as part of new solution designs

• Follows and promotes the best practices and standards for machine learning and MLOps across the organization using Databricks and Azure DevOps

Qualifications

• A minimum of a Bachelor's degree, or 8 years relevant experience, or relevant military experience at an E6 rank/Petty Officer 2nd Class or higher is required
• A minimum of 3 years of experience developing solutions in machine learning, data science, or related field
• A minimum requirement for this U.S. based position is the ability to work legally in the United States. No visa sponsorship/support is available for this position, including for any type of U.S. permanent residency (green card) process