ML Engineer — Azure Databricks & MLOps (Production)

Dow Chemical; Saginaw (MI); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Employee discounts for online shopping

On-site fitness facilities

Competitive yearly vacation allowance

Paid time off for new parents (bir th/

Job summary

Dow in the United States seeks a Machine Learning Engineer for the Enterprise Data & Analytics group, based in Houston, TX; Midland, MI; or Champaign, IL. You will design, develop, and deploy ML systems across the Azure Databricks platform, collaborating with data engineers, scientists, and software engineers to deliver business value.

This role emphasizes ML lifecycle, MLOps, and governance, with responsibilities spanning training, inference, monitoring, and documentation using Databricks

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

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
• Works 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

Skills

Python

TensorFlow

PyTorch

Scikit-learn

Azure Databricks

MLflow

Delta Lake

SQL Analytics

Model Registry

Azure DevOps

Education

Bachelor's degree in CS/Engineering/Math/Data science

Tools

Databricks

MLflow

Delta Lake

SQL Analytics

Model Registry

Azure DevOps

Azure Databricks

Job description

Dow in the United States seeks a Machine Learning Engineer for the Enterprise Data & Analytics group, based in Houston, TX; Midland, MI; or Champaign, IL. You will design, develop, and deploy ML systems across the Azure Databricks platform, collaborating with data engineers, scientists, and software engineers to deliver business value.

This role emphasizes ML lifecycle, MLOps, and governance, with responsibilities spanning training, inference, monitoring, and documentation using Databricks