Lead Engineer responsible for optimizing test equipment and processes in manufacturing at Celestica. Collaborating with engineering teams to deliver high - quality solutions.
About the role
- 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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