DevOps Engineer We are seeking a skilled DevOps Engineer to join our team. As a DevOps Engineer, you will be responsible for implementing continuous software integration and deployment using DevOps best practices. You will design, configure, and manage robust CI/CD pipelines for ML projects and other software products. Automate development, testing, deployment, and operational tasks to ensure timely delivery of work and communicate any issues affecting deadlines. Participate in continuous improvement of skills and adopt new technologies to apply best practices and ensure safety and quality standards. Review code and conduct technical audits for quality assurance, participate in software testing, and maintain automated test environments. Collaborate on product integration and coordinate with other teams to manage cloud (AWS) and on-premise infrastructure, ensuring scalability and security. Implement security policies and DevSecOps practices, mentor team members, and support professional development. Optimize cloud resource usage and control costs by contributing to technical documentation and operational standards. Work with R&D; to understand product design and operation, manage ML lifecycle processes and pipelines. Deploy and manage microservices, ensuring their integration and performance, configure monitoring systems, and respond to incidents. This role requires a postgraduate degree in relevant fields or 2 years of relevant experience, certifications such as AWS Certified DevOps Engineer, Google Professional DevOps Engineer, Azure DevOps Engineer, CKA, or CI/CD tools certifications. Experience with MLOps, automation tools (Terraform, Ansible, etc.), containers (Docker, Kubernetes), strong collaboration and communication skills, commitment to continuous improvement and security practices, and experience with ML projects and pipelines is a plus.