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You will be updated with latest job alerts via emailAbout us:
As a Fortune 50 company with more than 400000 team members worldwide Target is an iconic brand and one of Americas leading retailers. Target in India operates as a fully integrated part of Targets global team and has more than 4000 team members supporting the companys global strategy and operations.
At Target we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers worldclass outcomes. That winning formula is especially apparent in Bengaluru where Target in India operates as a fully integrated part of Targets global team and has more than 4000 team members supporting the companys global strategy and operations.
Team Overview:
The Search and Browse Data Science team builds the core relevance engine and Data Science products that power Targets digital experience. As a Sr Data Scientist on this product youll work with business partners to provide solutions for business problems in a fastpaced and global environment. Youll have the opportunity to design quality flexible and performant Data Science systems and services at scale. Youll also architect Data Science solutions that capture process and mine huge datasets in the retail industry. Well also promote innovative thinking as well as the opportunity to utilize cuttingedge machine learning algorithms and NLP techniques to improve our Mobile and Web Search systems at Target!
Position Overview:
Develop and deploy scalable deep learning models to improve the search experience of Target guests
Architect and implement largescale AI systems using testdriven development practices
Build NLP technology for query and document analysis processing and understanding
Create data pipelines for feature/label extraction and generation
Conduct data analysis to identify opportunities and improve models
Conduct research to advance the stateoftheart machine learning and NLP technologies
Contributing to the operations/building of AI pipelines
Adopting Targets infrastructural platforms and operationalize tools and systems around them
Mentor and partner with other engineers to develop software that meets business needs
Follow agile methodology for software development and technical documentation
Innovate constantly and keep systems up to date with current technologies
About You:
MS or Ph.D. degree in Computer Science Electrical Engineering Mathematics or related field
Research or industrial experiences in relevant fields such as information retrieval machine learning NLP or recommendation systems
8 years of experience in deploying machine learning algorithms into production environments.
Proficient in Python or Java with Strong coding and problemsolving skills
Solid modeling skills in Python
Good understanding of search indexing retrieval and ranking
Extensive experience in implementing and integrating ML models in production with high traffic
Experience querying large databases with SQL HQL or some variations
Experience with Semantic Search is a plus.
Experience in Tuning LLMs is plus.
Proven track record of achieving significant engineering or academic results.
Excellent interpersonal and communication skills to work with global teams
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Full-Time