
Operates a chain of hypermarkets, discount department stores, and grocery stores in the United States and 19 other countries.
STAFF, SOFTWARE ENGINEER
Position Summary...
Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning. Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching for success and improvement; and promoting a belonging mindset in the workplace. Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy. Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness; and participating in and supporting community outreach events.
What you'll do...
About the team
Element is first of a kind initiative within Walmart which provides AI foundational solutions that can be leveraged at Walmart scale. Our vision is to democratize AI solutions through reusable services, for everyone within Walmart.
Element is planning to achieve this by
- Providing one place for all fundamental AI solutions.
- Empowering users to develop best-in-class solutions faster through robust re-usable APIs
Foundational work within Element would comprise of defining a problem in an abstract manner and then designing the solution to be domain agnostic. In addition, the Element would also productionize the APIs and tackle model management issues such as model serving, model monitoring/retraining, model lineage and life-cycle management.
Our team which is part of Global Data Bangalore is responsible for creating the Platform which is a one stop shop for all analytics for Walmart stores & Ecommerce – a Machine Learning Platform that provides end-to-end infrastructure for Data Scientists to build ML solutions and an Enterprise Analytics group that provides analytics for HR, Global Governance and Security. The team is responsible for time critical, business critical and highly reliable systems that influence almost every part of the Walmart business. The team is spread over multiple locations and the Bangalore centre owns critical end to end pieces, that we design, build and support.
What You’ll Do:
As part of the Element team @Walmart, you’ll have the opportunity to make a difference by being a part of development team that provides ML platform as a service for Data Scientists, Citizen Data Scientist and Business Users across multiple groups in Walmart. One of the key challenging aspect of the job is to engineer the platform for performance at Walmart scale.
- Manage end-to-end engineering solutions for Machine Learning at scale.
- Integrate data science solutions into tangible products.
- Write efficient and quality code that can work @ Wal-Mart scale
- Productionize ML models – tackle all model management challenges.
- Parallelize algorithms/model training to make use of distributed infrastructure and reduce training time significantly.
- Adopt Wal-Mart’s quality standards and develop and recommend process standards and best practices across the retail industry:
- Mentor peers and analysts across the division in technology best practices
- Research, learn & adapt new technologies to solve problems & improve existing solutions
- Participate in events to build innovative solutions
- Design, build, test and deploy cutting edge solutions at scale, impacting millions of customers worldwide drive value from data at Walmart Scale
- Interact with data science groups across Walmart to understand their major engineering challenges, build and propose solution for them.
- Identify right open source tools to deliver product features by performing research, POC/Pilot and/or interacting with various open source forums
- Deploy and monitor products on Cloud platforms.
- Engage with Product Management and Business to drive the agenda, set your priorities and deliver awesome product features to keep platform ahead of market scenarios.
- Promote and support company policies, procedures, mission, values, and standards of ethics and integrity
What You’ll bring:
- Bachelor's/Master's Degree with 3-5 yrs. of experience in Computer Science
- Strong computer science fundamentals in algorithms, data structures, databases, operating systems, etc.
- Experience in Python (preferable), R, Matlab or SAS.
- Experience in Java, Hadoop, Hive, Spark, Spark ML and distributed computing.
- Hands-on knowledge of docker container, container orchestration system like Kubernetes, docker swarm, marathon etc.
- Knowledge of machine learning life cycle, training and deployment of machine learning models.
- Knowledge of Jupyter, Zeppelin notebooks.
- Experience in building scalable/highly available distributed systems in production.
- Experience on implementing CI/CD, Log aggregation/Monitoring/alerting for production system.
- Good Understanding of the machine learning flow like feature engineering, training, evaluate, deployment, scoring, monitoring, feedback and retrain process.
- Basic Understanding of GPU Computing and Tensor Flow.
- Basic Understanding of Deep Learning.
- Strong advocate for Engineering Best Practices.
- Strong Advocate for Open Source Technologies.
- Should be a fast learner and quickly adapt to new technologies.
- Prefer individuals with High Ownership and commitment.
- Ability to work like a startup company.
- Ability to work with distributed teams in a collaborative and productive manner.
- A self-motivated learner and builder with strong customer focus and obsession with quality
About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.
We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Work
Walmart’s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our Bangalore/Chennai office for daily work, with the flexibility for associates to manage their personal lives.
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.
Belonging
We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.
At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.
Equal Opportunity Employer
Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people
Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Minimum Qualifications:Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area.Option 2: 6 years’ experience in software engineering or related area.
Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area
Primary Location...
Building 10 (sez), Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India
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Walmartについて

Walmart
PublicWalmart Inc. is an American multinational retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores in the United States and 19 other countries. It is headquartered in Bentonville, Arkansas.
10,001+
従業員数
Bentonville
本社所在地
$611B
企業価値
レビュー
10件のレビュー
2.7
10件のレビュー
ワークライフバランス
3.2
報酬
2.1
企業文化
2.8
キャリア
2.0
経営陣
2.2
35%
知人への推奨率
良い点
Friendly and supportive coworkers
Flexible hours and scheduling
Good work-life balance potential
改善点
Low pay and compensation
Limited advancement and growth opportunities
Poor and disorganized management
給与レンジ
29,572件のデータ
Junior/L3
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Junior/L3 · Data Scientist P1
0件のレポート
$125,350
年収総額
基本給
-
ストック
-
ボーナス
-
$106,548
$144,152
面接レビュー
レビュー2件
難易度
3.0
/ 5
期間
21-35週間
内定率
50%
体験
ポジティブ 50%
普通 50%
ネガティブ 0%
面接プロセス
1
Application Review
2
Online Assessment
3
Recruiter Screen
4
Technical Interview
5
Final Interview
6
Offer
よくある質問
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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