DevOps Engineer

As part of our team, your responsibilities will include:

• Building and managing CI/CD pipelines for efficient, automated deployments.
• Deploying and managing AI/ML models in production, ensuring scalability and seamless integration.
• Optimizing cloud infrastructure (AWS, Azure, GCP) for performance, security, and cost efficiency.
• Automating infrastructure provisioning using Terraform, Ansible, or CloudFormation.
• Monitoring system performance and reliability with tools such as Prometheus, Grafana, Datadog, etc.
• Working closely with developers to integrate the best DevOps and MLOps practices.

To excel in this role, you must possess:

• A strong understanding of AI/ML workflows and model deployment.
• Hands-on experience with Docker and Kubernetes for containerization and orchestration.
• Proficiency in CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD).
• Experience in cloud platforms (AWS, Azure, GCP) and infrastructure automation.
• Strong knowledge of Linux and Windows administration, networking, and security.
• Familiarity with monitoring and logging tools such as ELK Stack, Prometheus, Grafana.
• Excellent problem-solving, communication, and collaboration skills.

Additionally, it would be beneficial if you have experience in IT Support, including troubleshooting hardware, software, and network issues, managing IT assets, security policies, updates, and compliance, and experience with MLOps workflows for AI/ML model lifecycle management.

Joining us offers the opportunity to work on high-impact AI/ML and cloud infrastructure projects, continuous learning and career growth opportunities in AI, DevOps, and Cloud, and a collaborative, innovation-driven work culture with flexibility and autonomy.,