About PayPay India
To build our Payment services, we got technical cooperation from Paytm (A large payment service company in India). And based on their customer-first technologies , we created and expanded the smartphone payment service in Japan. Therefore, we have decided to establish a development base in India, because it is a major IT country with many talented engineers, as evidenced by the fact that cutting-edge mobile payments can continue to be generated.
OUR VISION IS UNLIMITED PayPay is looking for an experienced Cloud-Based AI and ML Engineer.
This role involves leveraging cloud-based AI/ML Services to build infrastructure as well as developing, deploying, and maintaining ML models, collaborating with cross-functional teams, and ensuring scalable and efficient AI solutions particularly on Amazon Web Services (AWS).
1. Cloud Infrastructure Management :
- Architect and maintain cloud infrastructure for AI/ML projects using AWS tools.
- Implement best practices for security, cost management, and high-availability.
- Monitor and manage cloud resources to ensure seamless operation of ML services.
2. Model Development and Deployment :
- Design, develop, and deploy machine learning models using AWS services such as SageMaker.
- Collaborate with data scientists and data engineers to create scalable ML workflows.
- Optimize models for performance and scalability on AWS infrastructure.
- Implement CI/CD pipelines to streamline and accelerate the model development and deployment process.
- Set up a cloud-based development environment for data engineers and data scientists to facilitate model development and exploratory data analysis
- Implement monitoring, logging, and observability to streamline operations and ensure efficient management of models deployed in production.\
3. Data Management :
- Work with structured and unstructured data to train robust ML models.
- Use AWS data storage and processing services like S3, RDS, Redshift, or DynamoDB.
- Ensure data integrity and compliance with set Security regulations and standards.
4. Collaboration and Communication :
- Collaborate with cross-functional teams including DevOps, Data Engineering, and Product Management teams.
- Communicate technical concepts effectively to non-technical stakeholders.
5. Continuous Improvement and Innovation :
- Stay updated with the latest advancements in AI/ML technologies and AWS services.
- Provide through Automations means for developers to easily develop and deploy their AI/ML models on AWS.
- AWS: VPC, EC2, ECS, EKS, Lambda, MWAA, RDS, ElastiCache, DynamoDB, Opensearch, S3, CloudWatch, Cognito, SQS, KMS, Secret Manager, KMS, MSK,Amazon Kinesis, CodeCommit, CodeBuild, CodeDeploy, CodePipeline, AWS Lake Formation, AWS Glue, SageMaker and other AI Services.
- Terraform, Github Actions, Prometheus, Grafana, Atlantis
- OSS (Administration experience on these tools)
- Jupyter, MLFlow, Argo Workflows, Airflow
- More than 5+ years of technical experience in cloud-based infrastructure with a focus on AI and ML platforms
- Extensive technical hands-on experience with computing, storage, and analytical services on AWS.
- Demonstrated skill in programming and scripting languages, including Python, Shell Scripting, Go, and Rust.
- Experience with infrastructure as code (IAC) tools in AWS, such as Terraform, CloudFormation, and CDK.
- Proficient in Linux internals and system administration.
- Experience in production level infrastructure change management and releases for business-critical systems.
- Experience in Cloud infrastructure and platform systems availability, performance and cost management.
- Strong understanding of cloud security best practices and payment industry compliance standards.
- Experience with cloud services monitoring, detection, and response, as well as performance tuning and cost control.
- Familiarity with cloud infrastructure service patching and upgrades.
- Excellent oral, written, and interpersonal communication skills.
- Bachelor’s degree and above in a technology related field
- Experience with other cloud service providers (e.g GCP, Azure)
- Experience with Kubernetes
- Experience with Event-Driven Architecture (Kafka preferred)
- Experience using and contributing to Open Source tools
- Experience in managing IT compliance and security risk.
- Published papers / blogs / articles
- Relevant and verifiable certifications
- Leverage AI/LLM-based tools in daily workflows (e.g., code development, reviews, testing, debugging, documentation), while ensuring human oversight, judgment, and accountability drive the final product.
＊Please note that you cannot apply for PayPay (Japan-based jobs) or other positions in parallel or in duplicate.
PayPay 5 senses- Please refer PayPay 5 senses to learn what we value at work.
- Full Time
- Gurugram (Wework)
※The development center requires you to work in the Gurugram office to establish the strong core team.
Top Skills
What We Do
PayPay, a FinTech company, that achieved more than 60M users within around 5 years since its launch in 2018 has hugely diversified employees who are from about 50 different countries. The number of employees by now is more than 1,000 staff members, and yet the company is still incomplete and at a growing stage.
To build "PayPay", we allied with Paytm, the biggest payment service company in India. Based on their customer-first technologies , we created and expanded the smartphone payment service in Japan.
Our biggest competitor is "cash". We are seeking for people who can accept this challenge positively, brush up the product at a tremendous speed that other companies could never achieve, and who are passionate about promoting and spreading such a financial life platform in a short time along with professionalism.
About our working style, we had introduced a new personnel system called WFA (Working From Anywhere*). At PayPay, we work fully remotely in Japan. Therefore, the working place or your living place doesn't matter. Even if you are living in a local area, the salary and benefit package will be at an international level while you enjoy working with world class colleagues. You will find such a way of working at PayPay! *This WFA policy is applicable only within Japan
