Cloud Infrastructure Engineer (AI/ML Ops)

Job Description

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).

Main Responsibilities

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.

Tech Stack

- 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

Required Skills and Experiences

- 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.

Preferred Qualifications

- 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

- Bilingual in English and Japanese is nice to have, but not required. Proficiency in either language is fine.

- JLPT Level 3 or above

Remarks

＊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.

Working Conditions

Employment Status

• Full Time

Office Location

• Gurugram (Wework)

※The development center requires you to work in the Gurugram office to establish the strong core team.