About the Role
we’re looking for a DevOps engineer who can be responsible for deploying product updates, identifying production issues, and implementing integrations that meet our customers’ needs.
BSc/BA in Computer Science, B.Tech Engineering or a related field
Knowledge of AWS Cloud
Work experience as a DevOps Engineer
Knowledge of Machine Learning Deployment and Dotnet IIS Server Deployment
Good knowledge of Kubernates,Docker,Linux
Working knowledge of Scripting Language(Shell,python Scripting)
Provide deep expertise to help steer scalability and stability improvements early in the life-cycle of machine learning development while working with the rest of the team to automate existing processes that deploy, test, and lead our production environments.
Orchestrate systems using Kubernetes.
Lead the conversation on architecting solutions to machine learning specific needs relating to deployment, systems architecture, and other tools and automation that ensure the reliability of machine learning products and simplify Deep Learning Engineer workflows.
Lead by example and evangelize DevOps best practices within other data science and engineering teams.
Work with deep learning engineers and DevOps teams to troubleshoot server/infrastructure/systems-level issues.
Mentor and enable ML engineers to perform basic DevOps functions.
Have the freedom to suggest and drive organization-wide initiatives while being part of providing the technical vision and strategy.
Build, test, and maintain the infrastructure and tools to allow for the speedy development and release of the software.
Manage massive complex datasets, detect patterns and antipatterns, uncover new insights, iterate and refine queries.
Salary: As per company standard
Experience: 2 to 4 years
Working days : Monday to Friday.
Timings: 09:30am to 06:30pm