Senior Software Engineer, Machine Learning Engineering
Position SummaryWhat you'll doYou will play a prominent role in architecting scalable data science solutions working with business, product, and engineering partners and deliver outstanding business outcomes.
You'll spend your days advocating and implementing MLOPs best practices and guiding other DS team members through the processes of optimizing and deploying various ML models and solutions.
You will help establish best practices for model deployment, monitoring, and risk assessment, and be instrumental in productionizing and optimizing ML solutions for low latency inference times.
About Team:
Data VenturesData Ventures, akin to a nimble startup incubated within Walmart is building the best-in-class suite of Data Products to deliver actionable, customer-centric insights and help merchants and suppliers make better business decisions on omni channel 360 performance.
What you'll do:
Responsible for building scalable end-to-end data science solutions for our data products.
Works closely with data engineers, data analysts, data scientists and application developers to help build ML and statistics driven models and continuous model monitoring workflows Solve business problems by scaling advanced Machine Learning algorithms and complex statistical models on large volumes of data Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust ML model lifecycle Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and deploy holistic machine learning solutions after successful prototyping What you'll bring:
You have engineering mindset and exposure to software engineering principles, Agile methodologies, CICD, distributed systems and implemented that in Machine Learning projects You have experience in NLP/NLU, Forecasting and Anomaly detection DS solution development and deployment in real world scenarios.
You have strong knowledge of Machine Learning, MLOps, MLflow, Kubeflow, Python/R, SQL, Big Data, GCP, Shell scripting.
Experience in scaling infrastructure to support high-throughput data-intensive applications using PySpark/GPU You worked on integrating ML models with web-services.
About Walmart Global Tech Imagine working where one line of code can make life easier for hundreds of millions of people.
That's what we do at Walmart Global Tech.
We're a team of software engineers, data scientists, cybersecurity experts and service professionals within the world's leading retailer who make epic impact and are leading the next retail disruption.
People are why we innovate, and people power our innovations.
We're Primarily Virtual We use a hybrid way of working that is primarily virtual, while remaining near the locations Global Tech calls home.
This approach has helped us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting.
Of course, being together in person is an important part of our culture and shared success.
We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities.
Most of our team will make this permanent transition to our hybrid way of working as our new normal.
Our U.
S.
hubs are:
Austin, TX; Bentonville AR; Carlsbad, CA; Charlotte, NC; Dallas, TX, Hoboken, NJ; Portland, OR; Reston, VA; Seattle, WA and Sunnyvale, CA.
Who We Are Join Walmart and your work could help approximately 220 global customers live better every week.
Yes, we are the Fortune #1 company.
But you'll quickly find we're a company who wants you to feel comfortable bringing your whole self to work.
Our mission spreads far beyond the walls of our stores.
Here at the world's leading retailer, you can make career defining accomplishments, learn new skills, gain experience from virtually every industry, and leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Discover why we are a world leader in technology, diversity and inclusion, sustainability, and community involvement.
careers.
walmart.
com.
Equal Opportunity Employer Walmart, Inc.
is an Equal Opportunity Employer - By Choice.
We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them.
That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, ideas, and opinions - while being inclusive of all people.
#LI-MG Minimum Qualifications Outlined below are the required minimum qualifications for this position.
If none are listed, there are no minimum qualifications.
Option 1:
Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years' experience in software engineering or related area.
Option 2:
5 years' experience in software engineering or related area.
Preferred Qualifications Outlined below are the optional preferred qualifications for this position.
If none are listed, there are no preferred qualifications.
Master's degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 1 year's experience in software engineering or related area.
Primary Location 603 MUNGER AVE STE 400, DALLAS, TX 75202, United States of America Recommended Skills Agile Methodology Anomaly Detection Big Data Code Refactoring Computer Engineering Data Science Estimated Salary: $20 to $28 per hour based on qualifications.
You'll spend your days advocating and implementing MLOPs best practices and guiding other DS team members through the processes of optimizing and deploying various ML models and solutions.
You will help establish best practices for model deployment, monitoring, and risk assessment, and be instrumental in productionizing and optimizing ML solutions for low latency inference times.
About Team:
Data VenturesData Ventures, akin to a nimble startup incubated within Walmart is building the best-in-class suite of Data Products to deliver actionable, customer-centric insights and help merchants and suppliers make better business decisions on omni channel 360 performance.
What you'll do:
Responsible for building scalable end-to-end data science solutions for our data products.
Works closely with data engineers, data analysts, data scientists and application developers to help build ML and statistics driven models and continuous model monitoring workflows Solve business problems by scaling advanced Machine Learning algorithms and complex statistical models on large volumes of data Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust ML model lifecycle Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and deploy holistic machine learning solutions after successful prototyping What you'll bring:
You have engineering mindset and exposure to software engineering principles, Agile methodologies, CICD, distributed systems and implemented that in Machine Learning projects You have experience in NLP/NLU, Forecasting and Anomaly detection DS solution development and deployment in real world scenarios.
You have strong knowledge of Machine Learning, MLOps, MLflow, Kubeflow, Python/R, SQL, Big Data, GCP, Shell scripting.
Experience in scaling infrastructure to support high-throughput data-intensive applications using PySpark/GPU You worked on integrating ML models with web-services.
About Walmart Global Tech Imagine working where one line of code can make life easier for hundreds of millions of people.
That's what we do at Walmart Global Tech.
We're a team of software engineers, data scientists, cybersecurity experts and service professionals within the world's leading retailer who make epic impact and are leading the next retail disruption.
People are why we innovate, and people power our innovations.
We're Primarily Virtual We use a hybrid way of working that is primarily virtual, while remaining near the locations Global Tech calls home.
This approach has helped us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting.
Of course, being together in person is an important part of our culture and shared success.
We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities.
Most of our team will make this permanent transition to our hybrid way of working as our new normal.
Our U.
S.
hubs are:
Austin, TX; Bentonville AR; Carlsbad, CA; Charlotte, NC; Dallas, TX, Hoboken, NJ; Portland, OR; Reston, VA; Seattle, WA and Sunnyvale, CA.
Who We Are Join Walmart and your work could help approximately 220 global customers live better every week.
Yes, we are the Fortune #1 company.
But you'll quickly find we're a company who wants you to feel comfortable bringing your whole self to work.
Our mission spreads far beyond the walls of our stores.
Here at the world's leading retailer, you can make career defining accomplishments, learn new skills, gain experience from virtually every industry, and leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Discover why we are a world leader in technology, diversity and inclusion, sustainability, and community involvement.
careers.
walmart.
com.
Equal Opportunity Employer Walmart, Inc.
is an Equal Opportunity Employer - By Choice.
We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them.
That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, ideas, and opinions - while being inclusive of all people.
#LI-MG Minimum Qualifications Outlined below are the required minimum qualifications for this position.
If none are listed, there are no minimum qualifications.
Option 1:
Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years' experience in software engineering or related area.
Option 2:
5 years' experience in software engineering or related area.
Preferred Qualifications Outlined below are the optional preferred qualifications for this position.
If none are listed, there are no preferred qualifications.
Master's degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 1 year's experience in software engineering or related area.
Primary Location 603 MUNGER AVE STE 400, DALLAS, TX 75202, United States of America Recommended Skills Agile Methodology Anomaly Detection Big Data Code Refactoring Computer Engineering Data Science Estimated Salary: $20 to $28 per hour based on qualifications.
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