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Company

Original Job Post

Designer Brands · 2 days ago

Machine Learning Engineer

Columbus, OH

Full-time

Remote

Senior Level

4+ years exp

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Consumer GoodsFashion

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Responsibilities

Design, build, and fine-tune machine learning models.

Work with large datasets to train algorithms.

Preprocess data, select appropriate models, and optimize their performance.

Develop and deploy machine learning and AI models in cloud platform to support strategic priorities.

Collaborate with stakeholders to build predictive/prescriptive models and deploy predictions.

Develop strategic working relationships with cross-functional teams.

Lead initiatives to develop self-service solutions and analyze data for insights.

Identify areas to maximize value-add to the organization.

Qualification

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Big dataModel monitoringML workflowsVersion controlModel drift managementDatabase managementDimensional modelingCode reusabilityR programmingPython programmingJulia programmingScala programmingData insightsSupervised learningUnsupervised learningDeep learning algorithmsTensorFlowKerasPytorchCaffeTheanoFoundational modelsEthical AI principlesStatistical knowledgeAlgorithm applicationStatistical analysisComputational sciencesMathematicsPhysicsEconometrics

Required

Master’s degree in analytics or computer science with 4+ years of experience developing and deploying machine learning models is required

Experience with Big Data environments (very large 1st party data integrating multiple internal and external disjointed data)

Experience in model metrics monitoring, orchestrating ML workflows using pipelines, version control, model drift management

Experience working with underlying databases and tables. Understands table relationships to be able to do dimensional modeling; understands lookup tables and fact tables

Ability to write reusable code components

Familiarity with programming languages such as R and/or Python/ Julia/ Scala

Communication skills including the ability to identify and communicate data driven insights

Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy using descriptive and predictive analytics that optimize statistical efficiency and quality of the model – feature engineering, feature selection, model evaluation, model selection, model drift evaluation etc

Strong Knowledge of supervised and unsupervised deep learning algorithms and experience in advanced deep learning libraries like TensorFlow, Keras, Pytorch, Caffe, Theano etc

Experience leveraging foundational models like Claude 3.5, GPTs, Gemini, Llama etc

Knowledge and experience in implementing ethical and responsible AI principles while implementing ML solutions is preferred

Strong statistical knowledge and understanding of application of algorithms based on data and business need

Extensive background in statistical analysis, computational sciences, mathematics, physics, or econometrics

Advanced analytical and problem-solving skills and an ability to work independently in a fast-paced and rapidly changing environment

Entrepreneurial spirit - self-motivated, strong sense of ownership/accountability, and results oriented with the ability to manage time and schedules effectively

Preferred

Experience in development and deployment of models in GCP including Vertex AI OR Azure Open AI

Experience in SQL for data mining, feature engineering

Experience with cloud infrastructure platforms (Google Cloud Platform) is preferable

PhD in statistical domain/topic

Retail experience preferred

Company

Designer Brands

Designer Brands is a retail company that designs and produces a variety of footwear and accessories.

Founded in 1969

Columbus, Ohio, USA

10,001+ employees

https://designerbrands.com/

H1B Sponsorship

Designer Brands has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Trends of Total Sponsorships

2023 (3)

2022 (1)

2021 (11)

2020 (8)