Machine Learning Operations Engineer

Country: USA

State: Michigan

City: Grand Rapids

Office Location: P.O. Box 1967 - - I - - -

Date posted: 25-Oct-2024

Business Function: Information Technology

Position Type: Full-Time/Regular

Machine Learning Operations (MLOps) is the discipline that exists at the intersection of Data Science, Software Engineering, and DevOps to ensure the smooth production and maintenance of machine learning (ML) and other Data Science models.

The MLOps Engineer will work collaboratively with Data Engineering and Data Science to enable the successful deployment and management of models in production environments. Their goal is to automate and improve the process of model lifecycle management. They will ensure quality, minimize disruption, and maximize uptime - all in service of value delivery from analytic products. They tackle complex challenges that arise from the dynamic and data-dependent nature of Data Science models, making them an integral part of a productive Data Science Practice.

What you'll be doing:

• Ability to collaborate on multi-disciplinary Agile teams to manage the Software Development Life Cycle (SDLC) of ML and other Data Science models.
• Proficiency in programming languages (e.g. Python, Java, Scala) and scripting languages (e.g. Bash).
• Proficiency in DevOps practices such as CI/CD pipelines, Infrastructure as Code (IaC), monitoring, and logging.
• Experience with SQL in different databases (relational, NoSQL, Data Lake, etc.).
• Experience with web backend development including designing and implementing APIs, preferably RESTful APIs.
• Experience with ML model metrics to track for data drift and model drift, and manage model retraining.
• Knowledge of ML basics (supervised and unsupervised learning, feature engineering, model evaluation, etc.) and ability to work with ML frameworks (e.g. scikit-learn and TensorFlow or PyTorch).
• Knowledge of ML life cycle management frameworks (e.g. MLFlow) and ML platforms (e.g. Azure Machine Learning, Databricks Model Hosting).
• Knowledge of data analytics libraries (e.g. PySpark, pandas, NumPy).
• Knowledge of DevOps tools (e.g. Azure DevOps, Jenkins, Docker, Kubernetes).
• Familiarity with generative AI, Large Language Models (LLMs) and other Foundation Model applications.
• Functional understanding of firewalls and encryption.

Who you are:

• Bachelor's degree required; advanced degree in Computer Science, Software Engineering Information Systems, Data Science, Mathematics, Statistics, or related fields is preferred.
• Prior independent, academic, internship, or work experience in the "Skills/Abilities" outlined above is required.
• Experience with cloud platforms such as Azure, AWS, or GCP for model deployment is preferred.
• Experience with system integration in enterprise settings is preferred.
• General knowledge of the manufacturing industry and business functions is preferred.

Who We Are:

Steelcase is a global design and thought leader in the world of work. Along with our expansive community of brands, we design and manufacture innovative furnishings and solutions to help people do their best work in the many places where work happens.

Why People Choose to Work with Us:

At Steelcase, we put people at the center of everything we do. We understand the role of work and believe that it can bring meaning and purpose to the lives of our customers and our employees. We prioritize supporting our employees both in and out of work, in all aspects of their lives. When we bring our talents together, we make a positive lasting impact through our work and communities.

What Matters to Us:

More than qualifications, we're looking for talent and potential. We are proud to have a diverse and inclusive workforce, and we're always looking to improve our global community. We value applicants who are comfortable interacting with people different from themselves, building mutual respect and positive relationships. We invite people from all backgrounds and genders to apply. If we can make the application process easier through accommodation, please email us at myhr@steelcase.com.

Steelcase provides employment opportunities to all qualified employees and applicants without regard to race, color, creed, genetic information, religion, national origin, gender, sexual orientation, gender identity and expression, age, disability, or veteran status and bases all employment decisions only on valid job requirements. We are proud to be recognized for our inclusive workforce by the Corporate Equality Index for the past nine years.

Steelcase is a MVAA- Silver Level Veteran-Friendly Employer. Steelcase recognizes the amazing experiences and skills that Veteran's possess. We encourage all Veterans and Veteran Spouses to apply.

Please see our Working at Steelcase Document for more detailed benefits and compensation information.

If you're interested in Steelcase, but this isn't the right time or role, join our Talent Community to be updated on future openings in your area(s) of expertise.

Applicants must be authorized to work in the United States on a full-time basis. We are unable to sponsor or take over sponsorship of an employment Visa at this time.