Machine Learning Engineer – Customer Data Platform Section , Analytics Data Engineering Department(ADED)

Key Skills

Java Programming, Management, Python Programming, SQL, AWS, Apache Hadoop, Apache Kafka, Data science techniques, JIRA, Deep Learning, Docker, Kubernetes-K8s, Continuous Integration & Continuous Delivery - CI/CD, CUDA/GPU programming, Nginx, Prometheus, Elasticsearch, Postgres, Kibana, RESTful, MLflow, SPARK Programming, AWS Sagemaker, InfluxDB, MLOps tools, Seldon, Data Analysis

Job Description

Rakuten Group, Inc. is the largest ecommerce company in Japan, and third largest ecommerce marketplace company worldwide. Rakuten provides a variety of consumer and business-focused services including e-commerce, e- reading, travel, banking, securities, credit card, e-money, portal and media, online marketing and professional sports. The company is expanding globally and currently has operations throughout Asia, Western Europe, and the Americas.

You will be working cross-functionally to collaboratively define and execute a product while being guided by the Rakuten Shugi principles

Department Overview

Data Science & AI Department, under the Tech Division, leads the transformation of Rakuten by commercialization of Artificial Intelligence, Cognitive Computing and Machine Intelligence Technologies for Rakuten businesses.

With access to Rakuten’s ecosystem of more than 70 services, global businesses and technology expertise across Asia, Europe and the Americas, AI Solutions Incubation Section goal is to ideate, develop and provide transformative AI products in the fields of Commerce, Financial Services, Marketing and other Rakuten focus areas.

AI Solutions Incubation Section accelerates the adoption and impact of AI ML technologies via utilizing billions of consumers and industry data points accumulated within Rakuten’s ecosystem.

Position:

Why We Hire

We are looking for a someone with a problem-solving attitude to build and maintain model deployment pipelines enabling state-of-the-art AI-solutions. A T-shaped engineer with the ability to adapt and the passion to get things done and deliver results.

You will have the chance to own pipelines empowering our businesses and make tangible contributions. You will be working and exchanging knowledge with a global team of talented engineers.

Position Details

• Build and maintain ML deployments pipelines
• Build data APIs and ML microservices
• Work with new technology verification, bringing innovations into our services
• Collaborate globally with other team members

Mandatory Qualifications:

• 5+ years of development experience, preferably using python
• Able to write production level code, which is well-written and explainable
• Experience using ML libraries, such as scikit-learn, mllib
• Experience working with GPUs to develop and deploy models
• Experience with big data tools such as Hadoop, Spark, Kafka, etc.
• Experience with RESTful API and batch applications
• Experience with deployment and training of Machine Learning models
• Experience with full development lifecycle, agile development, using task management tool like JIRA
• Experience with Docker, microservices platforms such as Kubernetes
• Experience with production engineering practices such as CI/CD

Desired Qualifications:

• Experience with public cloud ML tools (AWS Sagemaker, Google AI platform )
• Experience with MLOps (MLFlow, Seldon, etc...)
• Experience with datastores such as Redis, Postgres, Couchbase etc.
• Experience with performance profiling and tuning
• Experience with developing distributed, scalable and high-available applications
• Knowledge about applications using GPU, Machine Learning, Deep Learning
• Experience with load balancer, HAProxy, Nginx, etc.
• Experience with log analysis system such as Prometheus, InfluxDB, ElasticSearch/Kibana, etc.