Position Summary...

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. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices.

What you'll do...

About Advertising Technology:

Ad Tech data science team at Walmart Labs, Bangalore is focused on using the latest research in machine learning, statistics, and optimization to solve business problems in ad tech domain. We build models to empower decision-making, work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem. Advanced algorithms driven by our team help Walmart to optimize user response, ads ROI and business practices, reduce cost and pass those benefits to our customers. You will be contributing towards building data science solutions by closely collaborating with our stakeholders at USA and provide solution to business challenges. Your contributions will have direct impact to the company’s businesses.

What You Will Do 

• Machine Learning Engineer is responsible for building scalable end-to-end data science solutions for our data products. 

• Work closely with data engineers and data scientists to help build ML- and statistics-driven data quality and continuous data monitoring workflows 

• Solve business problems by scaling advanced Machine Learning algorithms and complex statistical models on large volumes of data 

• Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management 

• Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and deploy holistic machine learning solutions after successful prototyping. 

• Follow industry best practices, stay up to date with and extend the state of the art in machine learning research and practice and drive innovation

• Promote and support company policies, procedures, mission, values, and standards of ethics and integrity. 

What You Will Bring  

• Knowledge of the foundations of machine learning and statistics

• Experienced in architecting solutions with Continuous Integration and Continuous Delivery in mind 

• Familiar with distributed in-memory computing technologies 

• Solid experience working with state-of-the-art supervised and unsupervised machine learning algorithms on real-world problems 

• Strong Python coding and package development skills

• Experience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, and MapReduce; Ability to work in a big data ecosystem - expert in SQL/Hive and ability to work with Spark. 

• Able to refactor data science code and has collaborated with data scientists in developing ML solutions. 

• Experience playing the role of full-stack data scientist and taking solutions to production. 

• Experience developing proper metrics instrumentation in software components, to help facilitate real-time and remote troubleshooting/performance monitoring. 

• Educational qualifications should be preferably in Computer Science, Statistics, Engineering or a related area. 

• Good effective communication (both written and verbal) skills and the ability to present complex ideas in a clear & concise way, to different audiences. A team player with good work ethics 

• Mandatory Skills: Machine Learning, Big Data Skills, PySpark, Airflow.

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.

Flexible, hybrid work
We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our 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.

Equal Opportunity Employer:
Walmart, Inc. is an Equal Opportunity 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 diversity- 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, information technology, engineering, information systems, cybersecurity, or related area and 3years’ experience in software engineering or related area at a technology, retail, or data-driven company.
Option 2: 5 years’ experience in software engineering or related area at a technology, retail, or data-driven company.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Certification in Security+, Network+, GISF, GSEC, CISSP, or CCSP, Master’s degree in Computer Science, Information Technology, Engineering, Information Systems, Cybersecurity, or related area

Information Technology - CISCO Certification - Certification

Primary Location...

G, 1, 3, 4, 5 Floor, Building 11, Sez, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India