Data Scientist, eComm - Machine Learning Engineer

Position Summary...What you'll do...The Catalog Data Science team at Walmart plays a pivotal role in maintaining and enhancing the data quality of Walmart's massive catalog. We aim to aid supplier onboarding, merchandise acquisition, inventory management, and elevate shopper experience by leveraging cutting-edge technologies in software engineering, machine learning, deep learning, and analytics. We tackle complex problems such as natural language understanding, image classification, and recommendation to outlier detection, visualization, and model serving. We take pride in writing solid production code in Python, deploying and supporting model services and pipelines, and pushing the boundaries in latency, throughput, and scalability.About Team :The Trust and Safety (T&S) team is an integral part of the Catalog Data Science Org and is responsible for maintaining customer trust in the Walmart marketplace. We employ state-of-the-art GenAI and Machine Learning models to identify products that violate Walmart's marketplace compliance policies. Our end-to-end machine learning pipelines are designed to scale and detect policy violations in millions of items, ensuring a safe marketplace for our customers. Our work has very high visibility as it directly impacts the marketplace growth at Walmart.As a Machine Learning Engineer, you will collaborate closely with technical leaders to develop new machine learning pipelines that significantly enhance the efficiency and accuracy in detecting defective items that violate compliance policies.What you'll do :• Evaluate and enhance Deep Learning practices within Catalog Trust and Safety (T&S) team at Walmart• Use GenAI, NLP, Computer Vision and other deep learning techniques to build models for classification, segmentation and detection for T&S use cases• Collaborate Cross-Functionally with Compliance Business, Product, Operations, and other engineering teams to align on engagement strategies, business requirements, and model KPIs• Drive innovation in ML Architecture by implementing and optimizing highly scalable model architectures tailored to Trust & SafetyWhat you'll bring :• Proficiency in Python, Spark, SQL, and associated Python packages commonly used for machine learning like Numpy, PyTorch, TensorFlow, scikit-learn etc.• 2+ years of experience contributing high-quality code to production systems that operate at scale• Experience in designing, developing, and implementing complex machine learning pipelines that drive business results• Ability to solve intricate problems with multilayered data sets and multi batch inferencing• Commitment to uphold ML engineering best practices - enforcing high standard for quality, reliability, and security in deployed machine learning solutions• Proactive approach in staying abreast with the latest AI/ML technologies and acting as a thought leader for ML Engineering within the organization and broader technical community• Solid understanding and practical experience with deploying ML pipelines using Docker, Kubernetes, Apache Airflow, Beam, Spark, Kafka etc.• Practical experience with GCP, Azure, AWS or other cloud environments• Working knowledge of relational and NoSQL databases• Strong verbal and written communication skillser technical community• Solid understanding and practical experience with deploying ML pipelines using Docker, Kubernetes, Apache Airflow, Beam, Spark, Kafka etc.• Practical experience with GCP, Azure, AWS or other cloud environments• Working knowledge of relational and NoSQL databases• Strong verbal and written communication skillsAbout 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 that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.Benefits : Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, 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.The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring processAt Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.For information about PTO, see https://one.walmart.com/notices .Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.For information about benefits and eligibility, see One.Walmart .The annual salary range for this position is $95,250.00-$158,750.00Additional compensation includes annual or quarterly performance bonuses.Additional compensation for certain positions may also include:- Regional Pay Zone (RPZ) (based on location)- StockMinimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science,Information Technology or related field. Option 3: 4 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.Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Primary Location...2501 Se J St, Ste A, Bentonville, AR 72716-3724, United States of America