Full Stack Staff Engineer in Walmart Global Tech driving ML experimentation at scale. Collaborating across teams to provide insights and solutions for complex problems.
Responsibilities
Apply and/or develop ML solutions to develop ML experimentation lifecycle at Walmart scale.
Play a key role to solve complex problems, pivotal to Walmart's business and drive actionable insights from terabytes of data.
Collaborate with counterparts in business, engineering, and science to find impactful solutions to business problems.
Define and/or develop the metrics for evaluation of models.
Work closely with Data Scientist and deliver scalable, standardized solution for ML practitioners need.
Develop PoC, present lucidly to the business and evolve the solutions.
Take forward the solutions into Pipelines/APIs as needed by the business.
Research, learn/ disseminate & adapt new technologies to solve problems & improve upon existing solutions.
Adopt Wal-Mart's quality standards and develop and recommend process standards and best practices across the retail industry.
Mentor peers and junior members and handle multiple projects at the same time.
Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.
Requirements
10+ years of experience in the design and development of highly scalable distributed applications and platforms - particularly for multi-tenant, SaaS products.
Ability to work both in backend and frontend technologies stack.
Experience building a 'Code, Deploy, Run' pipeline using DevOps best practices by leveraging the best available CI/CD tools.
Strong computer science fundamentals: data structures, algorithms, and design patterns.
Own Tech Debt/Tech Modernization - Ability to balance the long-term 'big picture' and short-term implications of design decisions.
Having proficiency in Java/J2EE, Microservices, and Cloud Native Architecture.
Hands-on experience in Microservices, and RESTful web services development in Java.
Hands-on experience working on NodeJs and React.
Experience with big data platforms - Hadoop (Hive, Pig, Map Reduce, HQL) / Spark would be added benefit.
Experience with multiple stakeholder management, data based story-telling, mentoring peers and juniors, multiple project handling at the same time.
Exceptional communication and interpersonal skills - including negotiation, facilitation, and consensus-building skills; ability to influence and persuade, without direct control.
Focus on reusability, frameworks, patterns, and configuration tools for faster development.
Hands on experience in building products on Azure/GCP would be preferred.
Benefits
Beyond our great compensation package, you can receive incentive awards for your performance.
Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.
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