Unique opportunity to build your own team Vibrant and dynamic start-up environment Great growth potential in a fast-growing big data industry Tapway is growing fast and is looking to expand our project management and technical support team. Thus, we are looking for a Cloud & MLOps Lead Engineer to: Design, implement and build MLOps pipeline on AWS cloud. Design and implement scalable and cost-effective cloud architectures that meet business requirements. Evaluate and recommend cloud services, tools, and frameworks to optimize performance and cost. Develop, build and manage complete CI/CD processes and solutions using known technologies and tools Neural network model pipeline development, code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality Identify process gaps and implement improvements (process/tools) in the ML automation space. Identify opportunity to automate manual deployment process, repetitive tasks and streamline release pipeline. Provide technical support for release management by ensuring successful delivery of releases, ensuring all build and releases checkpoints are being validated. Ensure build quality by integrating with automated tests and code analysis. Ensure build and deployment processes are following best practices, standards and controls of processes. Maintaining documentation and scripts describing system requirements for all build systems. Work with the product manager and CTO to streamline the application build process. Have fun in a highly dynamic team and drive innovations to continue as a leader in one of the fastest-growing industries Job Requirements Candidate must possess at least a Bachelor's Degree in Engineering, Computer Science, Business Management or a related discipline. MSc is a plus. 3 years work experience in cloud-based software product and solution architecture design and system implementation Extensive experience with Amazon Web Services and strong understanding of cloud architecture, including infrastructure as code (IaC) and microservices. Background in machine learning and artificial intelligence in any of the following: computer vision, NLP, speech, optimization, deep learning, reinforcement learning, time series, generative models, signals, and distributed systems . Broad and extensive knowledge of the software development process and its technologies Knowledge of architectural styles and design patterns Understanding of various coding methods and computer languages Good understanding of Agile methodologies and practices Data modeling and database design experience Experience with software development lifecycle (SDLC) processes Experience with service oriented architecture (SOA) Experience with Continuous Integration / Continuous Development Individual who is passionate, resourceful, self-motivated, highly committed, a team player and able to motivate others Good verbal and written communication. Strong leadership qualities Excellent at creating and maintaining cross-functional working relationships