MACHINE LEARNING ENGINEER | SUNNYVALE, CA | BENTONVILLE, AR (ONSITE)

JOB TITLE: MACHINE LEARNING ENGINEER

JOB DURATION: 12+ MONTHS

JOB LOCATION: SUNNYVALE, CA | BENTONVILLE AR (ONSITE)

EXPERIENCE: 8+ YEARS

VISA: , GC-EAD, -EAD (W2) CAN APPLY.

LINKEDIN IS MANDATORY

Job Description

• Deployment, scaling, integration of ML models in product
• Data Ventures team, Customer voice is the product area
• Part of data science and analytics group, build models that effect operations, models that provide recommendations and insights
• Need: MLE resources with extensive experience building ml pipelines, ml architecture design, taking ML systems to production, exposure in deploying models built by other teams
• Will be taking built models, putting them into production, and building out the production pipelines
• Creating inference layers
• Docker/kuberentes for scaling systems, batch pipelines
• ML flow or something similar
• Deploying application with api around it " flask/ fast api
• Walmart has a homegrown platform similar to sagemarker/vertexai
• Need someone who knows how to scale the model
• Walmart has a layer on top of the cloud, homegrown platform similar to vertex AI, google and MS in the background - helpful to have walmart projects for this reason
• Machine Learning Engineer is responsible for building scalable end-to-end data science solutions.
• Build ML and statistics driven models and continuous model monitoring workflows.
• Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust ML model lifecycle.
• Scale and deploy holistic machine learning solutions after successful prototyping.
• Have engineering mindset and exposure to software engineering principles, Agile methodologies, CICD, distributed systems and implemented that in Machine Learning projects.
• Have strong knowledge of Machine Learning, MLOps, MLflow, Kubeflow, Python/R, Pytorch, SQL, Big Data, Google Cloud Platform, Shell scripting.
• Experience in scaling infrastructure to support high-throughput data-intensive applications using Scala/PySpark/GPU
• Worked on integrating ML models with webservices using FastAPI or Flask.