Office Depot · 2 days ago
Senior Machine Learning Engineer
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Office SuppliesRetail
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Responsibilities
Build machine learning models in open source packages like Python and deploy using cloud infrastructure available in Amazon Web Services
Understand the business requirement and suggest/ evaluate the right features and technique best suited to train and test the model.
Work on feature engineering to ensure most information going into the model for prediction accuracy.
Work with cloud architecture and digital development team to deploy the model online and offline
Work with testing team to design the test online or offline and work towards improving the model based on test results
Collaborate with internal stakeholders to understand the business strategy and work towards supporting that by gathering the right data and building machine learning models.
Follow machine learning model management and lifecycle best practice for all Artificial Intelligence and Machine Learning models created
Qualification
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Required
Masters degree or equivalent experience in statistical analysis, computational sciences, mathematics, physics or econometrics
3-5 Years of experience in data modeling, data engineering, feature engineering, model lifecycle management and experience with cloud infrastructure
Special Certifications in Mathematics, Business Intelligence, AWS, open source frameworks and Statistical Modeling
Language Skills: English
Technical Competencies in SQL, R, Python, Deep Learning, NoSQL technologies, Hadoop, Anaconda, Tableau, Excel, Analysis, Database Concepts, Kubernetes Infrastructure including Kube Flow, using Docker for containerization
Strong Knowledge of supervised and unsupervised deep learning algorithms like CNN, RNN, GRU and experience in advanced deep learning packages like TensorFlow, Keras, Pytorch, Caffe, Theano etc.
Experience in data visualization packages in Python or other languages
Selecting analytics tools to manage model lifecycle across groups and be experienced in open source tools like Python, R, Tensorflow, keras (Deep learning libraries) etc.
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Practical experience with Business analysis, Data extraction in SQL and data analytics
Experience in writing SQL against complete data warehouse systems with multiple takes. Teradata experience is a plus
Experience implementing a Recommendation Engine (knowledgeable on collaborative filtering and content-based filtering) and working on Web Analytics
Experience in applying Deep Learning to time series analysis (including ARIMA, ARMA and survival analysis)
Strong understanding of experimental and test-and-learn design concepts and application
Experience with analyzing big data sets using Hadoop, Spark and open source technologies
Experience working with third party data providers like DNB, Acxiom, Info group to utilize firmographic, psychographic and demographic data
Extensive background in statistical analysis, computational sciences, mathematics, physics, or econometrics
Information Systems: People Soft, R, Python, Anaconda, SQL, NoSQL, Hadoop, Spark, Databricks, H2O, Tableau, Excel, Analysis
Preferred
Experience in Retail Industry
Benefits
401(k)
Company
Office Depot
Office Depot is a supplier of office products and services. It is a sub-organization of The ODP Corporation.
H1B Sponsorship
Office Depot 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 (1)
2022 (3)
2021 (44)
2020 (44)
Funding
Current Stage
Public CompanyTotal Funding
$350MKey Investors
BC Partners
2021-06-03Acquired· by ALKOR GROUPE
2012-05-24IPO· bmv:ODP
2009-06-23Post Ipo Equity· $350M
Recent News
South Florida Business Journal
2024-06-04
Business Journals
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2024-03-31
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