MLOps Engineer – Kohler Ventures Position Available In New York, New York

MLOps Engineer –

Kohler VenturesWork Mode:

HybridLocation:

Hybrid – 3 days/week onsite in either Palo Alto, CA or New York City, NYOpportunityKohler Ventures is an independent company wholly owned by Kohler Co., global leader in the manufacture of kitchen and bath products, tile and home interiors, and an international host to award-winning hospitality and world-class golf destinations. Our mission is to build new digital businesses that empower consumers to lead healthier lives. We explore how familiar experiences can be enhanced and innovations developed through the integration of leading-edge technology, science, and design.

Come join us as we build a best-in-class global multi-disciplinary team across artificial intelligence, machine learning, design, advanced software and hardware engineering, strategy, venture investments, sales, marketing, and partnerships. Our locations are Palo Alto, CA US, New York City, NY US, Kohler, WI US, Seoul, Korea, and Tel Aviv, Israel. We are seeking a Machine Learning Ops Engineer who is passionate about applying machine learning to consumer products. The candidate should also have a desire to execute and guide model development through all phases of the product development life cycle. The ideal candidate will have a successful track record as a machine learning engineer, taking models from design to proof-of-concept and launch.

In your role as Machine Learning Ops Engineer at Kohler Ventures you will:

Build and maintain ML pipelines to perform complex statistical analyses and architect/train ML models on large data sets of unique dataDesign, build, automate, deploy and maintain machine learning production pipelines.

Implement machine learning model lifecycle management framework.

Build model performance tracking tools, to monitor month over month model performance, identify drivers and provide recommendations for model performance improvementSupport the development of start-to-finish data product solutions from requirements gathering and ideation, through interface design and implementation.

Participate in product discussions and roadmap exercises to understand business use casesAuthor technical documentation and reports to communicate process and resultsCommunicate applied machine learning and statistic strategy to project sponsors, business leaders, and development teams across Kohler VenturesSupport development of the overall product strategy via understanding of the competitive landscape, available and upcoming third-party integrations, and industry practicesCollaborate with Engineering teammates to deploy models into productionCollaborate with regulatory team to develop intended use and regulatory strategyCollaborate with advance research team to design and implement data science applications.

Skills/RequirementsRequired Qualifications:

5+ years of experience working on commercial deep learning projects and have an appreciation for, and a vision to implement, a well-organized deep learning infrastructure.3+ years hands on experience in building and maintaining data science applications and AWS Sagemaker ML pipelinesExperience with AWS CDKExperience with CI/CD pipelines set up and configuration Strong skills in one or more languages: Typescript (Preferred), JavaScript, PythonA solid understanding of Machine Learning workflows including ingesting, analyzing, transforming data, and evaluating results to make meaningful predictionsExperience with Kubernetes (EKS, ECS), ArgoCD, AWS native systems such as Lambda functions, Step Function, Load Balancers etc.

Bachelor’s degree (B.S.) and/or postgraduate degree or higher involving machine learning, computer science, statistics, or another STEM fieldExperience with large data sets, distributed computing, and cloud computing platforms.

Grasp of classical statistics, such as fitting regression models, inference testing & sampling.

Understanding of data structures, data modelling and software engineering best practices.

Experience in electronics, connected or smart home devices experience preferredDemonstrating deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.

Availabilityto work outside of standard business hours as needed to be able to collaboratewith teams across multiple time zonesAbility to travel 10% of time both domestically andinternationally

Preferred Qualifications:

Experience with safety and compliance standards related to health/wellness technologyExperience with ML frameworks such as Pytorch, tensorflow#LI-NR1#LI-HybridCUSTOM.PAY.TRANSPARENCYWhy Choose Kohler? We empower each associate to #BecomeMoreAtKohler with a competitive total rewards package to support your health and wellbeing, access to career growth and development opportunities, a diverse and inclusive workplace, and a strong culture of innovation. With more than 30,000 bold leaders across the globe, we’re driving meaningful change in our mission to help people live gracious, healthy, and sustainable lives.

About UsIt is Kohler’s policy to recruit, hire, and promote qualified applicants without regard to race, creed, religion, age, sex, sexual orientation, gender identity or expression, marital status, national origin, disability or status as a protected veteran. If, as an individual with a disability, you need reasonable accommodation during the recruitment process, please contact kohlerjobs@kohler.com. Kohler Co. is an equal opportunity/affirmative action employer. PDN-9f385288-a660-42cc-8ce4-fc82960149b2