Cloud and MLOps Engineer

Job Summary: We are seeking a skilled Cloud and MLOps Developer to design, implement, and manage cloud infrastructure and MLOps pipelines that support the deployment, monitoring, and automation of machine learning models at scale. You will collaborate with data scientists, ML engineers, and DevOps teams to ensure reliable and secure delivery of AI/ML solutions using modern cloud platforms and CI/CD practices. Key Responsibilities: Develop and manage cloud-native infrastructure (e.g., using AWS, Azure, or Google Cloud); design, implement, and maintain MLOps pipelines for model training, deployment, and monitoring; collaborate with data scientists to integrate machine learning models into production-ready workflows; work closely with DevOps teams to ensure seamless integration of AI/ML solutions with existing systems; develop and maintain CI/CD processes for automated testing, validation, and deployment of AI/ML models; stay up-to-date with the latest advancements in cloud computing, MLOps, and machine learning technologies. Requirements: Bachelor's degree in Computer Science, Engineering, or related field; 3+ years of experience in Cloud and MLOps development; strong understanding of cloud platforms (AWS, Azure, Google Cloud); expertise in MLOps tools and frameworks (e.g., TensorFlow, PyTorch, scikit-learn); proficiency in programming languages such as Python, R, or Julia; experience with containerization using Docker; knowledge of CI/CD practices and DevOps tools (e.g., Jenkins, GitLab CI/CD); strong analytical and problem-solving skills; excellent communication and collaboration skills. Benefits: Competitive salary and benefits package; opportunities for professional growth and development in a cutting-edge field; collaborative and dynamic work environment.