Job Description: We are seeking a highly skilled ML/Ops or DevOps Engineer to join our dynamic team in the telecom industry. The ideal candidate will be responsible for designing, building, and maintaining scalable, high-performance machine learning (ML) and operational infrastructure, focusing on automation, efficiency, and optimization. You will play a key role in enabling smooth deployment pipelines for AI/ML models and ensuring seamless integration within our telecom systems. Your contributions will be critical in advancing our infrastructure's reliability and our machine learning workflows. Key Responsibilities: ML/Ops Responsibilities: Design and implement scalable machine learning pipelines and frameworks for production-level deployment in the telecom environment. Collaborate with data scientists and AI/ML teams to automate the training, testing, and deployment of machine learning models. Monitor, troubleshoot, and optimize model performance in real-time production systems. Develop robust data pipelines for continuous data ingestion, transformation, and analysis. Ensure compliance with industry standards and security requirements related to telecom data and AI/ML models. DevOps Responsibilities: Build, deploy, and maintain cloud-based infrastructure using tools such as Kubernetes, Docker, and Terraform. Automate and optimize CI/CD pipelines for efficient release and deployment of applications and models. Implement and manage system monitoring, logging, and alerting systems to ensure system health and performance. Collaborate with software developers, network engineers, and security teams to enhance infrastructure and deployment practices. Ensure high availability and disaster recovery capabilities across systems. Collaboration & Communication: Work closely with cross-functional teams, including product managers, network engineers, and AI specialists, to integrate DevOps and ML processes seamlessly. Provide support and troubleshooting for network and system issues, identifying potential areas of improvement in operational processes. Key Qualifications: Bachelor's or Master's degree in Computer Science , Telecommunications , Electrical Engineering , or a related field. 3-7+ years of experience in DevOps, ML/Ops, or a combination of both, preferably within the telecom industry. Strong hands-on experience with CI/CD tools (e.g., Jenkins, GitLab, CircleCI) and Infrastructure as Code (IaC) tools like Terraform or CloudFormation . Proficiency with Kubernetes , Docker , and container orchestration for large-scale deployments. Experience with cloud platforms such as AWS , Azure , or GCP in managing telecom-related workloads. Solid understanding of telecom protocols (e.g., VoIP, LTE, 5G) and network services (e.g., DNS, DHCP, VPN). Experience with machine learning model deployment (e.g., TensorFlow, PyTorch, or scikit-learn) and ML frameworks . Familiarity with telecom-related applications such as network optimization , billing systems , or customer analytics is a plus. Knowledge of security best practices in DevOps and cloud environments, particularly within the telecom industry. Preferred Skills: Knowledge of Python , Shell scripting , and automation tools such as Ansible or Chef . Experience working with microservices architecture and API gateways . Strong analytical and problem-solving skills, with a focus on scalability and performance tuning. Excellent communication skills, with the ability to translate technical requirements into business solutions.