Work under the guidance of the delivery leads and own the development and deployment for computer vision applications.
Collaborate with data scientists, other engineers, and product managers to launch new Computer Vision AI products, iterate on existing features, and build a world-class user experience.
Implement cutting-edge technologies and will be writing state-of-the-art code to ensure deliveries of highly performant applications.
Proactively identify technical debt and implement solutions to improve product iteration speed.
Required Qualifications :
Python, SQL, and additional languages development experience.
Strong Programming skills and understating of architecture and best practices.
Kubernetes development experience.
Strong understanding of AWS Services (S, Lambda, Redshift, RDS..)
Familiarity with version control / SCM is a must (experience with git is a plus).
Understanding of DevOps processes.
Strong organizational and troubleshooting skills with attention to detail.
Strong analytical ability, judgment, and problem-solving techniques.
Experience working with streaming technologies such as Kafka, NATS
Nice to Have :
Experience with computer vision use cases.
Experience with Distributed and Edge Computing
Experience working with resolving network and infrastructure issues.
Experience working with helm.
Terraform development experience.
Working experience with monitoring / alerting tools such as Dynatrace, Splunk, LogicMonitor, Solarwinds