{"schemaVersion":"jobsearcher.job.v1","id":"26feb466ff11f17cf8a7ab28","url":"https://jobsearcher.com/jobs/26feb466ff11f17cf8a7ab28","canonicalUrl":"https://jobsearcher.com/jobs/26feb466ff11f17cf8a7ab28","title":"Machine Learning Engineer","description":"Machine Learning EngineerAt Dow, we believe in putting people first and we're passionate about delivering integrity, respect and safety to our customers, our employees and the planet. Our people are at the heart of our solutions. They reflect the communities we live in and the world where we do business. Their diversity is our strength. We're a community of relentless problem solvers that offers the daily opportunity to contribute with your perspective, transform industries and shape the future. Our purpose is simple - to deliver a sustainable future for the world through science and collaboration. If you're looking for a challenge and meaningful role, you're in the right place.About You and This RoleDow 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. In this role, you will work closely with data engineers, data scientists, domain experts, and software engineers to design, develop, and deploy machine learning systems, including training and inference pipelines on the Azure Databricks platform. You will also help drive a culture around setting standards and adopting best practices for machine learning and MLOps across the organization.ResponsibilitiesDesigns and implements pipelines and other workflow infrastructure to meet the requirements for new AI/ML solutions that involve online, batch, or real-time inferenceDeploys and monitors machine learning models in production using Databricks Model Registry, Jobs, and WorkspaceFrequently 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 maintainableWorks frequently with application development teams to ensure seamless integrationsWorks proficiently with various ML frameworks, such as scikit-learn, TensorFlow, PyTorch, Keras, as well as distributed frameworks like Spark MLlib and RayPerforms 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 lifecycleResearches and implements new machine learning techniques and methods using Databricks, staying abreast of the latest trends and technologiesDocuments and communicates machine learning results and insights to stakeholders using Databricks notebooks and dashboardsUnderstands IT security policies and implements them as part of new solution designsFollows and promotes the best practices and standards for machine learning and MLOps across the organization using Databricks and Azure DevOpsYour SkillsSolutions Delivery: End-to-end ownership of Azure data solutions—translating ambiguous business needs into robust architectural blueprints, then delivering through design, build, test, deployment, and post-launch monitoring with a focus on reliability, performance, and cost efficiency.Cloud Computing: Designing and operating cloud-native architectures on Azure (e.g., Databricks Lakehouse, ADF/Workflows, Functions, Logic Apps, Azure SQL) with CI/CD and IaC to scale securely and economically for ML, BI, streaming, and web applications.Integration Services: Building secure, high-throughput integrations—REST APIs and event/stream pipelines (e.g., Event Hubs/Kafka)—to connect polyglot data stores (SQL Server, Cosmos DB, Neo4j) and enable real-time and batch data products.Security Awareness: Embedding governance, identity, and compliance into the architecture (OAuth/RBAC, data governance, re-authorization/ownership verification), enforcing code reviews and automated controls across pipelines and deployments.Strategic Planning: Aligning platform roadmaps and technology choices with enterprise strategy, mentoring engineers on best practices, defining standards and KPIs, and prioritizing modernization and cost-optimization initiatives that maximize business impact.QualificationsA 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 requiredA minimum of 3 years of experience developing solutions in machine learning, data science, or related fieldA 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) processPreferred QualificationsA degree in computer science, engineering, mathematics, statistics, data science or related fieldProficient in Python and one or more machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, etcExperience in developing and deploying machine learning models and pipelines on the Databricks platform using Databricks MLflow, Delta Lake, SQL Analytics, Model Registry, Jobs, and WorkspaceStrong knowledge of machine learning concepts, techniques, and algorithmsAbility to perform data analysis, feature engineering, model selection, optimization, and evaluation using DatabricksAbility to communicate complex machine learning concepts and results to technical and non-technical audiences using Databricks notebooks and dashboardsAbility to work independently and collaboratively in a fast-paced and dynamic environmentCuriosity and passion for learning new machine learning skills and technologies using DatabricksStrong knowledge of data modeling, data warehousing, and ETL processesExperience designing and deploying into production both traditional and generative AI systemsProficiency in SQL and experience with big data technologies such as Apache Spark and HiveExperience working within Azure Machine LearningExperience containerizing and deploying ML models to Azure Kubernetes ServiceExperience with Azure Data Factory, Azure Data Lake Storage Gen2, and other Azure servicesMulti-application and cross-platform design experienceUnderstanding of data lakehouse platform design and associated workflowsAbility to thrive in challenging situations and solve complex problemsAbility to manage own work effort in multiple projects with little supervisionInterested in emerging technologies with the ability to quickly learn and exploit cutting edge offerings to achieve business objectivesAdditional NotesThis position does not offer relocation assistanceThis position does not have people leadership responsibility. This position is an Independent Contributor; however, you may act as coach and mentor to junior resourcesBenefits – What Dow Offers YouWe invest in you.Dow invests in total rewards programs to help you manage all aspects of you: your pay, your health, your life, your future, and your career. You bring your background, talent, and perspective to work every day. Dow rewards that commitment by investing in your total wellbeing.Here are just a few highlights of what you would be offered as a Dow employee:Equitable and market-competitive base pay and bonus opportunity across our global markets, along with locally relevant incentives.Benefits and programs to support your physical, mental, financial, and social well-being, to help you get the care you need...when you need it.Competitive retirement program that may include company-provided benefits, savings opportunities, financial planning, and educational resources to help you achieve your long term financial-goals.Employee stock purchase programs (availability varies depending on location).Student Debt Retirement Savings Match Program (U.S. only).Robust medical and life insurance packages that offer a variety of coverage options to meet your individual needs. Travel insurance is also available in certain countries/locations.Opportunities to learn and grow through training and mentoring, work experiences, community involvement and team building.Workplace culture empowering role-based flexibility to maximize personal productivity and balance personal needs.Competitive yearly vacation allowance.Paid time off for new parents (birthing and non-birthing, including adoptive and foster parents).","company":"Dow","rawCompany":"dow","city":"Champaign","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-10-15T12:57:30.366Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"Machine Learning EngineerAt Dow, we believe in putting people first and we're passionate about delivering integrity, respect and safety to our customers, our employees and the planet. Our people are at the heart of our solutions. They reflect the communities we live in and the world where we do business. Their diversity is our strength. We're a community of relentless problem solvers that offers the daily opportunity to contribute with your perspective, transform industries and shape the future. Our purpose is simple - to deliver a sustainable future for the world through science and collaboration. If you're looking for a challenge and meaningful role, you're in the right place.About You and This RoleDow 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. In this role, you will work closely with data engineers, data scientists, domain experts, and software engineers to design, develop, and deploy machine learning systems, including training and inference pipelines on the Azure Databricks platform. You will also help drive a culture around setting standards and adopting best practices for machine learning and MLOps across the organization.ResponsibilitiesDesigns and implements pipelines and other workflow infrastructure to meet the requirements for new AI/ML solutions that involve online, batch, or real-time inferenceDeploys and monitors machine learning models in production using Databricks Model Registry, Jobs, and WorkspaceFrequently 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 maintainableWorks frequently with application development teams to ensure seamless integrationsWorks proficiently with various ML frameworks, such as scikit-learn, TensorFlow, PyTorch, Keras, as well as distributed frameworks like Spark MLlib and RayPerforms 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 lifecycleResearches and implements new machine learning techniques and methods using Databricks, staying abreast of the latest trends and technologiesDocuments and communicates machine learning results and insights to stakeholders using Databricks notebooks and dashboardsUnderstands IT security policies and implements them as part of new solution designsFollows and promotes the best practices and standards for machine learning and MLOps across the organization using Databricks and Azure DevOpsYour SkillsSolutions Delivery: End-to-end ownership of Azure data solutions—translating ambiguous business needs into robust architectural blueprints, then delivering through design, build, test, deployment, and post-launch monitoring with a focus on reliability, performance, and cost efficiency.Cloud Computing: Designing and operating cloud-native architectures on Azure (e.g., Databricks Lakehouse, ADF/Workflows, Functions, Logic Apps, Azure SQL) with CI/CD and IaC to scale securely and economically for ML, BI, streaming, and web applications.Integration Services: Building secure, high-throughput integrations—REST APIs and event/stream pipelines (e.g., Event Hubs/Kafka)—to connect polyglot data stores (SQL Server, Cosmos DB, Neo4j) and enable real-time and batch data products.Security Awareness: Embedding governance, identity, and compliance into the architecture (OAuth/RBAC, data governance, re-authorization/ownership verification), enforcing code reviews and automated controls across pipelines and deployments.Strategic Planning: Aligning platform roadmaps and technology choices with enterprise strategy, mentoring engineers on best practices, defining standards and KPIs, and prioritizing modernization and cost-optimization initiatives that maximize business impact.QualificationsA 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 requiredA minimum of 3 years of experience developing solutions in machine learning, data science, or related fieldA 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) processPreferred QualificationsA degree in computer science, engineering, mathematics, statistics, data science or related fieldProficient in Python and one or more machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, etcExperience in developing and deploying machine learning models and pipelines on the Databricks platform using Databricks MLflow, Delta Lake, SQL Analytics, Model Registry, Jobs, and WorkspaceStrong knowledge of machine learning concepts, techniques, and algorithmsAbility to perform data analysis, feature engineering, model selection, optimization, and evaluation using DatabricksAbility to communicate complex machine learning concepts and results to technical and non-technical audiences using Databricks notebooks and dashboardsAbility to work independently and collaboratively in a fast-paced and dynamic environmentCuriosity and passion for learning new machine learning skills and technologies using DatabricksStrong knowledge of data modeling, data warehousing, and ETL processesExperience designing and deploying into production both traditional and generative AI systemsProficiency in SQL and experience with big data technologies such as Apache Spark and HiveExperience working within Azure Machine LearningExperience containerizing and deploying ML models to Azure Kubernetes ServiceExperience with Azure Data Factory, Azure Data Lake Storage Gen2, and other Azure servicesMulti-application and cross-platform design experienceUnderstanding of data lakehouse platform design and associated workflowsAbility to thrive in challenging situations and solve complex problemsAbility to manage own work effort in multiple projects with little supervisionInterested in emerging technologies with the ability to quickly learn and exploit cutting edge offerings to achieve business objectivesAdditional NotesThis position does not offer relocation assistanceThis position does not have people leadership responsibility. This position is an Independent Contributor; however, you may act as coach and mentor to junior resourcesBenefits – What Dow Offers YouWe invest in you.Dow invests in total rewards programs to help you manage all aspects of you: your pay, your health, your life, your future, and your career. You bring your background, talent, and perspective to work every day. Dow rewards that commitment by investing in your total wellbeing.Here are just a few highlights of what you would be offered as a Dow employee:Equitable and market-competitive base pay and bonus opportunity across our global markets, along with locally relevant incentives.Benefits and programs to support your physical, mental, financial, and social well-being, to help you get the care you need...when you need it.Competitive retirement program that may include company-provided benefits, savings opportunities, financial planning, and educational resources to help you achieve your long term financial-goals.Employee stock purchase programs (availability varies depending on location).Student Debt Retirement Savings Match Program (U.S. only).Robust medical and life insurance packages that offer a variety of coverage options to meet your individual needs. Travel insurance is also available in certain countries/locations.Opportunities to learn and grow through training and mentoring, work experiences, community involvement and team building.Workplace culture empowering role-based flexibility to maximize personal productivity and balance personal needs.Competitive yearly vacation allowance.Paid time off for new parents (birthing and non-birthing, including adoptive and foster parents).","datePosted":"2026-10-15T12:57:30.366Z","dateModified":"2026-10-15T12:57:30.366Z","hiringOrganization":{"@type":"Organization","name":"Dow","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Champaign","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"26feb466ff11f17cf8a7ab28"},"url":"https://jobsearcher.com/jobs/26feb466ff11f17cf8a7ab28"}}