Machine Learning Engineer / Data
Key Responsibilities
Design, develop, and maintain scalable data pipelines for seller, user, and transaction data.
Build and optimize ETL processes to integrate and transform data for analytics platforms and business workflows.
Analyze user behavior and develop meaningful business metrics and data-driven insights.
Develop and enhance recommendation and personalization models to improve user experience and engagement.
Build AI-powered search and ranking solutions to improve search relevance and overall platform performance.
Develop AI solutions for OCR and face verification use cases.
Process and manage real-time data streams and event-driven workflows using Apache Kafka.
Work with MongoDB and Redis to support data management and improve application performance.
Collaborate closely with Product and Engineering teams to develop and implement AI-powered features for the marketplace platform.
Qualifications
3+ years of experience in Machine Learning, Data Engineering, Data Analytics, or a related field.
Strong programming skills in Python and/or Golang.
Hands-on experience with ETL processes, data pipelines, and data modeling.
Strong knowledge of SQL and experience working with databases such as MongoDB.
Experience with Kafka for real-time data streaming and event-driven processing.
Experience working with Redis or other caching technologies.
Good understanding of Machine Learning, Recommendation Systems, Personalization, or NLP.
Experience with AI Search, ranking, OCR, or face verification is a plus.
Experience in E-commerce, Marketplace, Search Engine, or Personalization platforms is highly preferred.
Experience with Microservices, REST API, gRPC, Docker, and Git is an advantage.
Technical Skills
Programming: Python, Golang
Data Engineering: ETL, Data Pipelines, Data Modeling, SQL
Machine Learning & AI: Recommendation Systems, Personalization, NLP, AI Search, Ranking, OCR, Face Verification
Database & Cache: MongoDB, Redis
Streaming: Apache Kafka, Real-time Data Processing
API & Communication: REST API, gRPC
Architecture: Microservices, Event-driven Architecture
DevOps & Tools: Docker, Git