Data Engineer II - #51639
Job Description
Flipkart AI Center, DE
Flipkart is India’s market leader in eCommerce with over 100 million customers, 80 million products in 80+ categories, 100,000+ sellers, generating and processing 1.2 Petabytes of data daily. Flipkart’s core values are centered around audacious thinking, a bias for action and a customer-first ethos. Flipkart has built a technical team of the highest caliber drawing from the finest colleges in India and abroad such as IIT, CMU, IISC, BITS, and IIIT, and has developed a high-quality eCommerce platform customized for the Indian customer. Flipkart is an innovation leader having pioneered Cash on Demand and ingenious use of fulfillment centers in India. Flipkart has a strong Data Science team in India that is working on cutting edge problems like multi-language speech recognition and natural language understanding, search and fraud detection. Flipkart has now established an AI Center in Redmond, Washington to advance the state of the art in Natural Language Understanding, Chatbots and Computer Vision.
India’s eCommerce market is in its infancy and is growing very rapidly, and the level of complexity is both exhilarating and challenging. India is a country with its own version of English that is colorfully decorated with words such as “chappal” for slippers, and “jhadu” for a broom. Flipkart operates in 11 languages. The complexity makes it ripe for innovative natural language understanding. One of the areas of research is creating a conversational AI that aims to assist our customers make discovery, pre-purchase and post-purchase decisions regarding the products they are interested in. The team is responsible for developing natural language processing/understanding technologies using state of the art Deep Learning techniques.
The AI Center also focuses on applications that can be used for editorial purposes, for example identifying bad returns or identifying inappropriate images uploaded to the cloud.
Each project operates with data scientists, data engineers, product and program managers working to deliver state of the art solutions that will be integrated into Flipkart web front end and back end applications. Each team has a single-threaded leader who has a wide latitude and independence.
The Flipkart Data Science team is looking for a passionate data engineer with machine learning experience to help build and test customer-facing, ML-powered systems. You will work with data scientists and engineers on a variety of online and offline machine learning use cases including:
- Build MLOps platforms to automate ML processes : track, test, measure and deploy ML models in staging and production environments.
- Build data pipelines to feed machine learning models for real-time and large-scale offline use cases.
- Work closely with data scientists to scale model training and explore new data sources and model features.
Minimum Qualifications
- Bachelor's Degree in Computer Science or a related field.
- 2+ years of industry experience in software development, data engineering, ML, business intelligence or a related field.
- Strong core computer science and problem solving skills.
- Production experience programming in Python. Strong OOP understanding.
- Understanding of data management fundamentals and data storage principles.
- Production experience with one or more major SQL databases.
- Good communication, collaboration, analytical and problem solving skills.
- Development expertise in Unix-based environments.
Preferred Qualifications/Good to have
- Expertise in building and consuming RESTful services.
- Experience with Docker, Kubernetes, or any other PaaS systems.
- Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
- Infrastructure deployment and automation with any public cloud provider (GCP/AWS/Azure, etc).
- Basic machine learning concepts.
Flipkart AI Center, DE
Flipkart is India’s market leader in eCommerce with over 100 million customers, 80 million products in 80+ categories, 100,000+ sellers, generating and processing 1.2 Petabytes of data daily. Flipkart’s core values are centered around audacious thinking, a bias for action and a customer-first ethos. Flipkart has built a technical team of the highest caliber drawing from the finest colleges in India and abroad such as IIT, CMU, IISC, BITS, and IIIT, and has developed a high-quality eCommerce platform customized for the Indian customer. Flipkart is an innovation leader having pioneered Cash on Demand and ingenious use of fulfillment centers in India. Flipkart has a strong Data Science team in India that is working on cutting edge problems like multi-language speech recognition and natural language understanding, search and fraud detection. Flipkart has now established an AI Center in Redmond, Washington to advance the state of the art in Natural Language Understanding, Chatbots and Computer Vision.
India’s eCommerce market is in its infancy and is growing very rapidly, and the level of complexity is both exhilarating and challenging. India is a country with its own version of English that is colorfully decorated with words such as “chappal” for slippers, and “jhadu” for a broom. Flipkart operates in 11 languages. The complexity makes it ripe for innovative natural language understanding. One of the areas of research is creating a conversational AI that aims to assist our customers make discovery, pre-purchase and post-purchase decisions regarding the products they are interested in. The team is responsible for developing natural language processing/understanding technologies using state of the art Deep Learning techniques.
The AI Center also focuses on applications that can be used for editorial purposes, for example identifying bad returns or identifying inappropriate images uploaded to the cloud.
Each project operates with data scientists, data engineers, product and program managers working to deliver state of the art solutions that will be integrated into Flipkart web front end and back end applications. Each team has a single-threaded leader who has a wide latitude and independence.
The Flipkart Data Science team is looking for a passionate data engineer with machine learning experience to help build and test customer-facing, ML-powered systems. You will work with data scientists and engineers on a variety of online and offline machine learning use cases including:
- Build MLOps platforms to automate ML processes : track, test, measure and deploy ML models in staging and production environments.
- Build data pipelines to feed machine learning models for real-time and large-scale offline use cases.
- Work closely with data scientists to scale model training and explore new data sources and model features.
Minimum Qualifications
- Bachelor's Degree in Computer Science or a related field.
- 2+ years of industry experience in software development, data engineering, ML, business intelligence or a related field.
- Strong core computer science and problem solving skills.
- Production experience programming in Python. Strong OOP understanding.
- Understanding of data management fundamentals and data storage principles.
- Production experience with one or more major SQL databases.
- Good communication, collaboration, analytical and problem solving skills.
- Development expertise in Unix-based environments.
Preferred Qualifications/Good to have
- Expertise in building and consuming RESTful services.
- Experience with Docker, Kubernetes, or any other PaaS systems.
- Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
- Infrastructure deployment and automation with any public cloud provider (GCP/AWS/Azure, etc).
- Basic machine learning concepts.
