Hiring: (USA) Staff, Machine Learning Engineer Company: Walmart Data Ventures Location: Bentonville, AR Job Posted Time: 2026-09-16 22:17:32 Employment Type: Full-time Target Skills & Keywords : Accessibility, CI/CD, Design System, LLM, MLOps, Machine Learning, NLP, Python, SAFe, SQL, TestNG, WCAG About the job Experience: •4 years’ experience in software engineering, machine learning engineering, AI systems or related area. •6 years’ experience in software engineering, machine learning engineering, AI systems or related area. Required Skills: •Lead design and delivery of scalable, production-grade ML and AI systems. •Translate business problems into technical requirements, architectures, and measurable success criteria. •Productionize DS prototypes across batch, real-time, and agentic workloads. •Own ML lifecycle, SDLC, CI/CD, versioning, testing, deployment, evaluation, observability, and monitoring. •Design systems balancing model quality, latency, throughput, reliability, scalability, maintainability, and cost. •Build reusable ML infrastructure, frameworks, and platform capabilities. •Lead production LLM/agentic systems including retrieval, tool calling, orchestration, and state management. •Establish offline and online evaluation practices to detect regressions, drift, quality degradation, and production failure modes. Qualifications: •Strong software engineering fundamentals with proficiency in Python, SQL, system design, testing, CI/CD, and production operations. •Extensive experience designing and operating large-scale ML systems across training, evaluation, batch and real-time inference, monitoring, and continuous improvement. •In-depth knowledge of MLOps, distributed systems, cloud-native architectures, APIs, containers, and relational/NoSQL data platforms. •Experience building reusable ML infrastructure, frameworks, and observability capabilities. •Strong foundation in algorithms, data structures, and machine learning methods. •Practical experience utilizing LLM and agentic systems, including retrieval, tool calling, orchestration, and evaluation. •Demonstrated capacity to balance model quality, latency, throughput, reliability, scalability, maintainability, and cost effectively. •Demonstrated technical leadership, mentorship, and effective cross-functional communication. •Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. •For Information About Benefits And Eligibility, See One. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!