1 day ago
Houston, TX, USASenior
Responsibilities
- Own the architecture and technical roadmap for Dow’s enterprise Databricks-first MLOps framework.
- Design and enhance workflows for ML development, testing, release, deployment, monitoring, retraining, retirement, governance, and operational support.
- Build CI/CD, configuration-as-code, infrastructure-as-code, automated testing, quality gates, observability, and deployment patterns for ML workloads.
- Define and promote software engineering and MLOps standards, reusable reference architectures, templates, libraries, and production-readiness practices.
- Drive adoption of the MLOps framework through coaching, technical reviews, enablement, office hours, and reusable examples.
- Deliver production ML solutions, including data analysis, feature engineering, model selection, optimization, validation, packaging, serving, monitoring, and remediation.
- Design batch, streaming, and real-time inference pipelines and integrate model outputs with enterprise systems through APIs, events, streams, and batch interfaces.
- Define adoption, quality, reliability, deployment, operational health, and business-value measures and use them for continuous improvement.
- Mentor practitioners and communicate architecture decisions, tradeoffs, risks, model performance, and business outcomes to technical and non-technical stakeholders.
Requirements
- Bachelor’s degree, relevant military experience at E5 rank/Petty Officer 2nd Class or higher, or eight years of experience in lieu of a bachelor’s degree.
- At least three years of experience developing and delivering solutions in machine learning, data science, software engineering, data engineering, or a related field.
- Advanced proficiency in Python, PySpark, and SQL, with experience in one or more machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, Keras, Spark MLlib, or Ray.
- Experience architecting or operating enterprise MLOps frameworks, platforms, or shared deployment practices.
- Hands-on experience deploying ML models and pipelines on Databricks, including MLflow, Delta Lake, Unity Catalog, Workflows or Jobs, model registries, and batch or real-time serving.
- Experience with Git, automated testing, code review, CI/CD, packaging, infrastructure as code, and Azure DevOps for ML workloads.
- Knowledge of machine learning algorithms, evaluation, feature engineering, model selection, optimization, explainability, production monitoring, data modeling, lakehouse architecture, data warehousing, ETL/ELT, Apache Spark, and distributed data processing.
- Experience designing batch, streaming, and real-time inference patterns and integrations through REST APIs, Event Hubs, Kafka, or enterprise batch interfaces.
- Experience with Azure services including Azure Machine Learning, Azure Data Factory, Azure Data Lake Storage Gen2, Functions, Logic Apps, Azure SQL, or Azure Kubernetes Service.
- Experience deploying traditional machine learning and generative AI systems into production.
- Ability to influence technical communities, define standards, facilitate architecture decisions, coach practitioners, lead complex cross-functional work, and communicate with technical and business audiences.
- Preferred qualifications include a degree in computer science, engineering, mathematics, statistics, data science, or a related field, plus an advanced degree where applicable.
- Ability to work legally in the United States.
Benefits
- Base pay and bonus opportunity, with locally relevant incentives.
- Medical, life, retirement, savings, financial planning, employee stock purchase, and U.S. student-debt retirement savings programs.
- Training, mentoring, learning, community involvement, team-building, and career-growth opportunities.
- Role-based workplace flexibility, competitive vacation, paid parental and family-care leave, volunteering and Employee Resource Group participation, and wellbeing resources.
- On-site fitness facilities, employee discounts, and location-dependent transportation allowances, meal vouchers, and carbon-neutral transportation incentives.
- The position is located in Houston, Texas; Midland, Michigan; or Champaign, Illinois, does not offer relocation assistance, and has no people-leadership responsibility.
Tech Stack
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About Dow Inc.
Dow Inc. is a materials science and chemical manufacturer producing plastics, specialty chemicals, and industrial intermediates for packaging, infrastructure, mobility, and consumer applications. It sells globally through business units spanning performance materials, industrial solutions, and coatings, serving manufacturers and converters. Founded in 1897 and headquartered in Midland, Michigan, Dow is a public company on the NYSE and reported roughly $45 billion in 2023 sales.