Position Summary...

What you'll do...

 

About Team 

As the Conversational AI team we are building completely new capabilities to allow our customers to shop, by seamlessly interacting with their connected devices using spoken and written language. This team is part of the Emerging tech organization and will build new voice experiences both in-house and in collaboration with strategic partners. Voice as a medium for shopping is still in its infancy and as part of this team you will get to work on industry leading solutions and be at the forefront of this emerging platform. 

 

What you will do: 

As a Staff Machine Learning Engineer for Walmart, you’ll have the opportunity to 

• Partner with key business stakeholders and be a thought leader in the Conversational AI space for driving the development and planning of POCs and production AI solutions. 
• Lead the design, development and deployment of complex machine learning solutions that drive business results and impact millions of customers worldwide. 
• Collaborate with other engineers and data scientists to integrate machine learning models into products and services. 
• Uphold ML engineering best practices - enforcing high standard for quality, reliability, and security in deployed machine learning solutions. 
• Stay up to date with the latest AI/ML technologies and trend - acting as a thought leader for ML Engineering within the organization and in the broader technical community. 
• Enhance current Deployment Solutions to make it cost as well as time efficient.
• Provide technical leadership, guidance and mentorship to a small group of highly skilled and motivated engineers. 
• Lead innovation and efficiency through the complete problem-solving cycle, from approach to methods to development and results. 
• Partner and engage with associates in other regions for delivering the best services to customers around the globe. 
• Proactively participate in the external community to strengthen Walmart's brand and gain insights into industry practices. 
• Lead multiple initiatives within the platform, with focus on efficiency, innovation, and leverage. 
  
  

 

 

What you will bring: 

• Bachelors with 10+ years or Masters with 8+ years of relevant experience. Educational qualifications should be in Computer Science or related fields 
• 7+ year experience in deploying and scaling AI/ML systems for real-time inferencing and streaming applications. 
• 7+ year of experience with MLE technologies: Python, TensorFlow/Pytorch, Numpy, scikit-learn, Unix, Docker, CPU and GPU architectures, LangChain, Vector DB, etc. 
• Have experience in designing the pipelines with different orchestration methods like Airflow, Kubernetes, Job Scheduler etc.
• 3+ year experience in deep learning and generative AI technologies, with focus on optimised model deployments. 
• 6+ year experience with big data stack and relational/no-SQL databases: BigQuery, Spark, HDFC, MySQL, Cassandra, etc. 
• 4+ years of experience working with Kafka, ActiveMQ, Caches such as Redis or memcached, Elastic Search. 
• 4+ year of software engineering experience in developing services using Java/C++ 
• Experience using managed servicing public cloud platforms such as Azure, GCP or AWS 
• Usage of Model Deployment Framework like Triton Server, Seldon Core, Vertex AI is a plus. 
• Extensive experience in working with large datasets and building batch data processing pipelines 
• Advanced knowledge of performance, scalability, and system architecture with an eye toward avoiding and reducing technical debt 
• Good problem-solving attitude and analytical skills 
• Strong communication skills with inclination to high ownership and commitment 
  
  

 

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.

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.

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: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field.

Preferred Qualifications...

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

Primary Location...

4,5,6, 7 Floor, Building 10, Sez, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-2124910