MLOps (Devops)

Role:

We are seeking a talented and experienced MLOps Engineer to join our dynamic team. The ideal candidate will play a crucial role in bridging the gap between data science and IT operations, ensuring the smooth deployment and operation of machine learning models in production. The MLOps Engineer will be responsible for designing, implementing, and maintaining the infrastructure and processes required to support the end-to-end machine learning lifecycle.

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

Job Qualifications:

• B.E./ B.Tech Computer with 3+ years experience in DevOps
• 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.