ML Engineer - Hybrid

At a glance

Position:ML Engineer - Hybrid

Primary Location:Houston (TX, USA), Texas, United States of America

Additional Locations: Midland (MI, USA) Illinois + More - Less

Schedule:Full time

Date Posted:07/30/2024

Job Number:R2053728

Position Type:Regular

Workplace Type:Remote or Hybrid or Onsite

At 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.

Dow has an exciting and challenging opportunity for aMachine Learning Engineerwithin ourEnterprise Data Analyticsorganization located inHouston, TX; Midland, MI;orChampaign, IL. This role will align to Dow's Design Your Day approach and allows employees to work remotely but will also require onsite work based on project work and role needs.  

About you and this role

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.  

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

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

Preferred Skills

A degree in computer science, engineering, mathematics, statistics, data science or related field

Proficient in Python and one or more machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, etc

Experience in developing and deploying machine learning models and pipelines on the Databricks platform using Databricks MLflow, Delta Lake, SQL Analytics, Model Registry, Jobs, and Workspace

Strong knowledge of machine learning concepts, techniques, and algorithms

Ability to perform data analysis, feature engineering, model selection, optimization, and evaluation using Databricks

Ability to communicate complex machine learning concepts and results to technical and non-technical audiences using Databricks notebooks and dashboards

Ability to work independently and collaboratively in a fast-paced and dynamic environment

Curiosity and passion for learning new machine learning skills and technologies using Databricks

Strong knowledge of data modeling, data warehousing, and ETL processes

Experience designing and deploying into production both traditional and generative AI systems

Proficiency in SQL and experience with big data technologies such as Apache Spark and Hive

Experience working within Azure Machine Learning

Experience containerizing and deploying ML models to Azure Kubernetes Service

Experience with Azure Data Factory, Azure Data Lake Storage Gen2, and other Azure services

Multi-application and cross-platform design experience 

Understanding of data lakehouse platform design and associated workflows

Ability to thrive in challenging situations and solve complex problems

Ability to manage own work effort in multiple projects with little supervision 

Interested in emerging technologies with the ability to quickly learn and exploit cutting edge offerings to achieve business objectives

Additional notes

This position does not offer relocation assistance​ 

This position does not have people leadership responsibility. This position is an Independent Contributor; however, you may act as coach and mentor to junior resources

Benefits – What Dow offers you

We 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 and emotional 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.

Become a Dow shareholder through various employee stock programs.

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.

Global Paid Time Off (PTO) policies:

Paid time off for new parents (birthing and non-birthing, including adoptive and foster parents).

​Paid time off to care for family members who are sick or injured.

Paid time off to support volunteering and Employee Resource Group’s (ERG) participation.

Join our team, we can make a difference together.

About Dow

Dow (NYSE: DOW) is one of the world’s leading materials science companies, serving customers in high-growth markets such as packaging, infrastructure, mobility and consumer applications. Our global breadth, asset integration and scale, focused innovation, leading business positions and commitment to sustainability enable us to achieve profitable growth and help deliver a sustainable future. We operate manufacturing sites in 31 countries and employ approximately 35,900 people. Dow delivered sales of approximately $45 billion in 2023. References to Dow or the Company mean Dow Inc. and its subsidiaries. ​​​​Learn more about us and our ambition to be the most innovative, customer-centric, inclusive and sustainable materials science company in the world by visitingwww.dow.com.

As part of our dedication to the diversity of our workforce, Dow is committed to equal opportunities in employment. We encourage every employee to bring their whole self to work each day to not only deliver more value, but also have a more fulfilling career. Further information regarding Dow's equal opportunities is available onwww.dow.com.

Dow is an Equal Employment Opportunity employer and is committed to providing opportunities without regard for race, color, religion, sex, including pregnancy, sexual orientation, or gender identity, national origin, age, disability and genetic information, including family medical history. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may call us at 1-833-My Dow HR (833-693-6947) and select option 8.