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STAFF, DATA SCIENTIST (MLE)

8 - 13 years

25 - 30 Lacs

Bengaluru

Posted:2 weeks ago| Platform: Naukri logo

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Skills Required

Computer science Networking Coding Troubleshooting Information technology Distribution system Analytics Monitoring SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Position Summary...
What youll do...
About Team:
This is the team which builds reusable technologies that aid in acquiring customers, onboarding and empowering merchants besides ensuring a seamless experience for both these stakeholders. We also optimize tariffs and assortment, adhering to the Walmart philosophy - Everyday Low Cost. In addition to ushering in affordability, we also create personalized experiences for customers the omnichannel way, across all channels - in-store, on the mobile app and websites. Marketplace is the gateway to domestic and international Third-Party sellers; we enable them to manage their end-to-end onboarding, catalog management, order fulfilment, return ; refund management. Our team is responsible for design, development, and operations of large-scale distributed systems by leveraging cutting-edge technologies in web/mobile, cloud, big data ; AI/ML. We interact with multiple teams across the company to provide scalable robust technical solutions.
What youll do:
As a Staff Machine Learning Engineer is responsible for building scalable end-to-end data science solutions for our data products.
o Work closely with data engineers and data analysts to help build ML- and statistics-driven data quality and continuous data monitoring workflows
o Solve business problems by scaling advanced Machine Learning algorithms and complex statistical models on large volumes of data
o Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management
o Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and deploy holistic machine learning solutions after successful prototyping.
o 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
o Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.
What youll bring:
o Knowledge of the foundations of machine learning and statistics
o Experience withweb service standards and related patterns (REST, gRPC)
o Experienced in architecting solutions with Continuous Integration and Continuous Delivery in mind
o Familiar with distributed in-memory computing technologies
o Solid experience working with state-of-the-art supervised and unsupervised machine learning algorithms on real-world problems
o Strong Python coding and package development skills
o 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.
o Able to refactor data science code and has collaborated with data scientists in developing ML solutions.
o Experience playing the role of full-stack data scientist and taking solutions to production.
o Experience developing proper metrics instrumentation in software components, to help facilitate real-time and remote troubleshooting/performance monitoring.
o Experience in designing and developing Gen AI solutions in production
o Experience in designing real time fraud/risk detection, prevention, mitigation solutions is preferred
o Educational qualifications should be preferably in Computer Science, Statistics, Engineering or a related area.
o Good effective communication (both written and verbal) skills and the ability to present complex ideas in a clear ; concise way, to different audiences. Ateam player with good work ethics
Mandatory Skills: Machine Learning, Big Data Skills, Python, MLOps, Docker, Kubernetes, R
Additional Qualifications: Good to have experience in areas such as computer vision, forecasting, real-time analytics, conversational AI assistants.

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