Arkansas Staffing
(USA) Software Engineer III - ML Engineer
Arkansas Staffing, Bentonville, Arkansas, United States, 72712
Data Science Team Position
Our Data Science team is building a first-in-class platform of tools and services covering high-performance computing, ML training services, DevOps, model deployment, and metadata capture. Our goal is to decrease AI/ML development/training cycle time and raise the quality bar on AI/ML's shipped services by drastically simplifying the process of AI/ML Engineering. This is a hands-on position where you will be empowered to be creative, ambitious, and bold. Our mission on the Data Science team is to provide deep computing expertise, automated workflows, production-grade infrastructure, and helpful tooling to enable the AI/ML team and our partners to solve cutting-edge research problems in the retail space and translate their solutions into a direct impact on the business and on members. The ML Engineer function works directly with AI/ML and data science project teams doing cutting-edge work, serving as the voice of expertise in software engineering, scientific computing at scale, and expert problem-solving. Responsibilities: Work with AI/ML and data science project teams to provide deep expertise in software engineering, parallel computing, and big data tools Help to guide the AI/ML Platform Engineering team's efforts based on first-hand experience on projects using our tools Work with partners in data platform, general computing, and similar teams to ensure the AI/ML org has the data, computing resources, and workflows/abstractions needed to do our best work Be part of the team responsible for helping deliver an enterprise-grade AI-driven data and messaging platform Help run our ML/AI infrastructure with tools like VertexAI, Element and k8s Design, build, and maintain scalable infrastructure-as-code (IaC) Help deliver next-level metrics, monitoring, visualization, and alert tooling to give Data Scientists, Developers, QA Engineers and SREs deep visibility into the health of the services across all environments Assist the rest of Production Engineering in protecting the health of the Production environment Work with the QA/TestEng and SRE teams to make the deployment process as efficient and boring as possible Work with architects to implement the baseline technologies, policies, and practices to build a high-velocity, high-security, strong compliance platform that allows scaling to support exponential growth Debug issues across environments, services, and tools Establish strong relationships with other teams in order to positively influence them in their pursuit of automation and toil reduction, and to keep the rest of our team apprised of upcoming initiatives Required: BS or MS degree in Computer Science or related field Expertise in software development Expertise in CI/CD and DevOps practices Expertise in k8s Hands on experience in defining CI/CD pipelines for enterprises e.g. Concord/Looper/etc. Experience deploying and maintaining high volume APIs Experience in QA and SRE Nice to Have: Experience with and understanding of best practices in Machine Learning, software engineering, and production deployment of ML services Experience with Kubeflow, MLFlow and MLOps practices Experience deploying applications in GCP and Azure 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 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 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 to help 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 to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work: We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives. 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 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, abilities, ideas and opinions- while being inclusive of all people.
Our Data Science team is building a first-in-class platform of tools and services covering high-performance computing, ML training services, DevOps, model deployment, and metadata capture. Our goal is to decrease AI/ML development/training cycle time and raise the quality bar on AI/ML's shipped services by drastically simplifying the process of AI/ML Engineering. This is a hands-on position where you will be empowered to be creative, ambitious, and bold. Our mission on the Data Science team is to provide deep computing expertise, automated workflows, production-grade infrastructure, and helpful tooling to enable the AI/ML team and our partners to solve cutting-edge research problems in the retail space and translate their solutions into a direct impact on the business and on members. The ML Engineer function works directly with AI/ML and data science project teams doing cutting-edge work, serving as the voice of expertise in software engineering, scientific computing at scale, and expert problem-solving. Responsibilities: Work with AI/ML and data science project teams to provide deep expertise in software engineering, parallel computing, and big data tools Help to guide the AI/ML Platform Engineering team's efforts based on first-hand experience on projects using our tools Work with partners in data platform, general computing, and similar teams to ensure the AI/ML org has the data, computing resources, and workflows/abstractions needed to do our best work Be part of the team responsible for helping deliver an enterprise-grade AI-driven data and messaging platform Help run our ML/AI infrastructure with tools like VertexAI, Element and k8s Design, build, and maintain scalable infrastructure-as-code (IaC) Help deliver next-level metrics, monitoring, visualization, and alert tooling to give Data Scientists, Developers, QA Engineers and SREs deep visibility into the health of the services across all environments Assist the rest of Production Engineering in protecting the health of the Production environment Work with the QA/TestEng and SRE teams to make the deployment process as efficient and boring as possible Work with architects to implement the baseline technologies, policies, and practices to build a high-velocity, high-security, strong compliance platform that allows scaling to support exponential growth Debug issues across environments, services, and tools Establish strong relationships with other teams in order to positively influence them in their pursuit of automation and toil reduction, and to keep the rest of our team apprised of upcoming initiatives Required: BS or MS degree in Computer Science or related field Expertise in software development Expertise in CI/CD and DevOps practices Expertise in k8s Hands on experience in defining CI/CD pipelines for enterprises e.g. Concord/Looper/etc. Experience deploying and maintaining high volume APIs Experience in QA and SRE Nice to Have: Experience with and understanding of best practices in Machine Learning, software engineering, and production deployment of ML services Experience with Kubeflow, MLFlow and MLOps practices Experience deploying applications in GCP and Azure 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 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 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 to help 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 to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work: We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives. 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 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, abilities, ideas and opinions- while being inclusive of all people.