Mlops Engineer

Responsibility:
● Infrastructure Setup and Maintenance: Design, deploy, and maintain scalable and reliable infrastructure for machine learning model deployment and operations
● Automating and orchestrating the CI/CD process of the organization
● Model Deployment and Monitoring : Work closely with data scientists to troubleshoot and address
issues related to model performance and scalability.
● Managing cloud environments in accordance with company security guidelines
● Stay current with industry trends, making recommendations as needed to help the company excel
● Develop reporting for cloud-based environments to meet the security, performance, and monitoring
requirements
● Performance analysis, proactive troubleshooting and capacity planning
● Other duties as assigned
Preferred Skill sets:
● Hands-on experience on cloud platforms (e.g., AWS, Azure, GCP) with VPC, Load balancer, VM,
SQL, Storage
● Knowledge of Configuration Management tools like – Puppet, Ansible, Chef, Terraform, etc.
● Proven experience as a DevOps or MLOps Engineer, with a focus on machine learning
deployments.
● Strong proficiency in scripting languages (e.g., Python, Bash)
● Knowledge of Linux operating system
● Knowledge of CI/CD tools like Jenkins
● Hands-on experience with containerization and orchestration tools (e.g.,Docker, Kubernetes).
● Excellent problem-solving and communication skills.