AL ENGINEERING

Title- AL ENGINEERING
Location- Sunnyvale, CA (onsite) or Remote (both needed)



What you'll do:



· Design scalable, low-latency services to host models; productionize prototypes on the cloud, including data pipelines, training & inference pipelines, and pre & post-processing routines.
· Build, tune, and optimize machine learning models; collaborate with data scientists to refine data models, design improvements, conduct experiments, and iteratively improve results.
· Develop and optimize data pipelines to collect, consolidate, and normalize data to feed to machine learning models for offline evaluation and real-time execution.
· Create monitoring dashboards; perform latency tuning of deep learning models, scaling solutions to enterprise level; investigate and resolve performance issues.
· Run experiments to compare models, features, and hyperparameters; utilize A/B testing and continuous monitoring to validate and adjust models.
· Utilize the broad and deep knowledge of ML and Software Engineering to contribute to the roadmap of Walmart's core machine learning capabilities.
· Work closely with our product, design, and UX teams to create amazing and intuitive experiences that make it effortless to connect different apps together.
· Help put tools, processes, and documentation in place to improve our code quality.
· Demonstrate technical expertise in solving challenging programming and design problems.
· Troubleshoots business and production issues by gathering information (for example, issue, impact, criticality); performing root cause analysis to reduce future issues; engaging support teams when needed; developing solutions; driving the development of an action plan; performing actions as designated in the plan; and completing online documentation.
· Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales.
· Possess excellent communication skills to be able to communicate with peers and stakeholders.
· Enjoy spending your day writing & reviewing code and also lead design discussions.
What you'll bring:



· Bachelor's Degree in Computer Science or related field and 10 years of experience in software engineering or Master's Degree in Computer Science or related field and 5 years of experience in software engineering
· 4+ years of proven work experience in designing and Architecting cloud native, distributed, high performant and scalable microservices.
· 4 years of experience with database languages (SQL, PL/SQL, PG-PL/SQL), version control (Git), data structures and algorithms
· 4 years of experience in writing production quality software with Python; knowledge of Unit testing in Python, Mocking, Pytest.
· 4 years of experience in architecting ML solutions given an abstract business problem
· 3 years of experience with MLOps, Model development lifecycle with knowledge of Training and Deployment pipelines for Machine Learning solutions on the cloud
· 3 years of experience building training and inference pipelines
· Hands on experience with building data pipeline with Spark, Hadoop, Redshift and/or Hive
· Experience with Kubernetes, Helm, microservice architecture and design, and best practices around multithreading, networking, offline storage, and performance tuning
· A disciplined approach to development, code review, testing, documentation, and code structure in a team environment.
· Design/Architecting Applications in No-SQL database such Cassandra, and Azure Cosmos DB.
· Utilize Industry Research and Innovation to build Next Generation systems to Improve Walmart Technology Environment.
· Experience with GCP and Airflow is a plus.
· Prefer experience with building Machine Learning models and pipelines related to personalization.