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Walmart
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Staff, Data Scientist - Conversational AI team

Staff, Data Scientist - Conversational AI team

Walmart

8 - 9 years

50 - 80 Lacs

Bengaluru

Posted:1 month ago| Platform:

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Skills Required

Computer science Architecture Networking data science Analytical Machine learning Business strategy Information technology Distribution system Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

In this role, as a staff data scien tist you will own the technical roadmap and architecture for multiple initiatives wit hin the Conversational AI platform. The responsibilities include:

Partner with key business stakeholders and be a thought leader in the Conversational AI space for driving the development and planning of POCs and p roduction AI s olution s .

Translate business requirements into strategies, initiatives, and projects. Align these with business strategy and objectives . Drive the execution of the deliverables.

Design, build, test and deploy cutting edge AI solutions at scale, impacting millions of customers worldwide.

Lead multiple initiatives within the platform, with focus on efficiency, innovation, and leverage.

Collaborate with the applied scientists, ML engineers, software engineers and product managers to develop next generation of AI assistant experiences.

Be up-to date on industry trends in the latest Generative AI, Speech/Video processing and AI assistant architecture patterns ( e.g. agent chaining, COT, RAG, LLM guardrails etc)

Provide technical leadership, guidance and mentorship to highly skilled and motivated data scientists in the team.

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 Walmarts brand and gain insights into industry practices.

Drive innovation in the charter and publish research in Rank A+ AI conferences like ICML, AAAI, NIPS, ACL, etc.

What You Will Bring

Masters with 8 + years or Ph.D. with 6 + years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or related area.

Strong track record in a data science tech lead role ( 4 + years), with deployment of large-scale AI services

Extensive experience in the design, development, and delivery of AI products with a large customer base, preferably in c onversational AI, speech, vision or machine learning based systems

Strong experience in machine learning: Gen AI, NLP, Speech processing, Image processing, Classification models, regression models, Forecasting, Unsupervised models, Optimization, Graph ML, Causal inference, Causal ML, Statistical Learning, and experimentation.

Extensive e xperience building and deploying GenAI/Deep learning models for real-time inferencing/streaming applications.

Deep and demonstrated personal interest in generative AI space including awareness of latest architectural advancements in building generative AI applications.

Excellent decision-making skills with the ability to balance conflicting interests in a complex and fast-paced environment.

Deep experience in simultaneously leading multiple data science initiatives end to end from translating business needs to analytical asks, leading the process of building solutions and the eventual act of deployment and maintenance .

Thorough understanding of distributed technologies, public cloud technologies, scalable platforms, ML- platforms and Operational Excellence.

Experience working with geographically distributed teams.

Business acumen; combining technical vision with business insights.

R esearch acumen ; with papers published in top tier AI conferences like AAAI, NIPS, ICML, KDD, etc.

Strong e xperience with big data platforms Hadoop (Hive, Map Reduce, HQL, Scala) .

Strong e xperience in Python and Java.

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