Job Description

Description and Requirements Telus International AI Data Solutions or TI AI for short, has been a global leader in data services since 2005. Listed on Feb 21 on the NYSE, TI, now has a market cap of $10Million+. With Playment\'s acqu

Description and Requirements Telus International AI Data Solutions or TI AI for short, has been a global leader in data services since 2005. Listed on Feb 21 on the NYSE, TI, now has a market cap of $10Million+. With Playment\'s acquisition on July 21, we now have a combined strength in video, images, audio text labeling, serving the world\'s top ML teams. We\'ve built a truly industry agnostic platform to support the growing needs of our customers. Eg of our customer use cases - Automotive companies build self-driving capabilities, Agriculture companies for identifying weeds & fruit picking, Insurance companies for claim processing & damage detection, Retail companies for shelf tracking, Drone/Satellite imagery for terrain analysis, E-commerce for cataloging & visual object understanding etc. Why is it important? High-quality training data is quintessential to improve the precision of ML algorithms. Forbes lists \'Autonomous Cars\' as one of the technology trends for the next decade and also estimates ML engineers spent 70% of their time in pre/post-processing & data management steps. Companies need to build sophisticated tooling (supporting all forms of sensor data), hire and manage hundreds of skilled people to ensure high-quality labeled data. Our autonomous driving customers estimate 1 hour of video data needs 800 man-hours of manual human work. Today, in the wake of the autonomous car industry only a few million km of data has been labeled, and 10x more will be collected before the world sees them on the road. Just as DevOps is critical to tech implementation, AI Ops will be a big challenge as AI development commercializes in the next 5-10 years. We aim to become an AI data platform, a critical part of the AI infrastructure stack. https://www.telusinternational.com/solutions/ai-data-solutions Responsibilities: . Build, deploy and maintain production infrastructure and services . Monitoring, troubleshooting and capacity planning of cloud platforms . Utilize various open source technologies and various tools to orchestrate solutions . Configure and manage data sources like MySQL, Mongo, Elasticsearch, Redis, Cassandra, Hadoop, etc . Periodically test the backup and restore process for the tech stack . Develop/maintain company processes, tools and documentation . Build & maintain the test environments and automate Requirements: . Should have an experience of 1.5-4 year as a DevOps engineer . Experience in a b2c product company or in a b2b SaaS domain, operating at scale, is preferred . Fluent in any one of the AWS, Google Cloud, Microsoft Azure. (AWS preferred, we use AWS) . Experience in writing docker files and deploying new microservices in production in Kubernetes . Implemented and maintained CI/CD pipelines . Knowledge of logging and monitoring tools like prometheus, grafana, New relic and Sentry is a plus . Experience of handling production outages (SRE) Benefits : . Work with a world class team working on a very forward looking problem . Competitive Pay . Health insurance for the family . Open culture . Work accessories and a great work location . Flexible Timings Additional Responsibilities: . Build, deploy and maintain production infrastructure and services . Monitoring, troubleshooting and capacity planning of cloud platforms . Utilize various open source technologies and various tools to orchestrate solutions . Configure and manage data sources like MySQL, Mongo, Elasticsearch, Redis, Cassandra, Hadoop, etc . Periodically test the backup and restore process for the tech stack . Develop/maintain company processes, tools and documentation . Build & maintain the test environments and automate

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