Staff Machine Learning Engineer - Staff Software Engineer, E2E

Key Skills

Agile methodologies, Big Data Technology, Cloud computing, Continuous Integration & Continuous Delivery - CI/CD, Google BigQuery, Google Cloud Platform (GCP), GPUs, Java Programming, Kubeflow, Kubernetes-K8s, Leadership, Machine learning techniques, MLflow, MLOps tools, Natural Language Processing (NLP), Natural Language Understanding-NLU, PySpark, Python Programming, R Programming, Seldon, Shell Scripting language, Software Development, SQL, Web server

Job Description

What you'll do...

We are looking for a Staff Machine Learning Engineer tlead the scaling and deployment of cutting-edge machine learning and deep learning models powering Retail Intelligence team. 

About The Team 

The Retail Intelligence team is leading the AI strategy for the company and is specifically charged with intercepting, redesigning, and reframing our end-to-end systems taccelerate customer retention and spend while improving our associates’ productivity and turnover. We will reframe business challenges intML problems, rapidly prototype new algorithms in a toy-scale garage setting, iterate tacceptance with the business, design and execute experiments ttest for viability of our models, and work with Tech tproductionalize and scale the end-state solution. 

You will play a lead technical 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. 

 What You’ll Do:   

• The Staff Machine Learning Engineer is 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 thelp 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 trefactoring data science code tbuilding robust ML model lifecycle  
• Demonstrate strong thought-leadership and consult with product and business stakeholders tbuild, scale and deploy holistic machine learning solutions after successful prototyping 
• Guide team members in achieving MLOps driven data science outcomes and handle multiple products and initiatives 
• Follow industry best practices, stay up tdate with and extend the state of the art in machine learning research and practice 
• Participate in internal technical councils and represent the organization in forums that involve community of Machine Learning Engineers  

What You’ll Bring:  

• You have engineering mindset and exposure tsoftware engineering principles, Agile methodologies, CI/CD, 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/Seldon, Python/R, SQL, Big Data, GCP, Shell scripting.  
• Experience in scaling infrastructure tsupport high-throughput data-intensive applications using PySpark/GPU 
• You worked on integrating ML models with webservices 
• You have experience in designing and developing web services or applications 
• Knowledge and experience on Kubernetes is a plus

The above information has been designed tindicate the general nature and level of work performed in the role.  It is not designed tcontain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned tthis job. The full Job Description can be made available as part of the hiring process.

About Walmart Global Tech

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we dat Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer whmake an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you thelp us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise tinnovate at scale, impact millions and reimagine the future of retail.

Benefits:

Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Equal Opportunity Employer:

Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped thelp 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.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are nminimum qualifications.

Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area.Option 2: 6 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 npreferred qualifications.

Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area

Primary Location...

601 N WALTON BLVD, BENTONVILLE, AR 72716, United States of America