Company Description Revive Software Systems, Inc. is a global business consulting company that offers integrated technology and process solutions on a global delivery platform. The company is dedicated to software innovation and believes in leveraging technology to shape tomorrow's life. With expertise in business functions and information technology, Revive Software Systems helps companies unlock their business potential. Role Description This is a full-time remote role for a Machine Learning Engineer at Revive Software Systems. The Machine Learning Engineer will be responsible for tasks such as pattern recognition, working with neural networks, applying statistics, and developing algorithms to enhance the company's technology solutions. Qualifications • Strong knowledge and experience in Pattern Recognition and Neural Networks • Expertise in Computer Science and Algorithms • Proficiency in applying Statistics to machine learning models • Experience in developing and implementing machine learning algorithms • Ability to work independently and in a remote setting • Excellent problem-solving and analytical skills • Master's or Ph.D. in Computer Science, Engineering, Mathematics, or a related field. Roles and Responsibilities: • Designing, developing, and maintaining features and Responsible for requirements gathering, process design, configuration, and functional testing for the SaaS application. • Collaborating with product managers, designers, and other engineers to understand requirements and translate them into technical solutions. • Participating in code reviews to ensure code quality and adherence to best practices. • Developing user interfaces and user experiences for the SaaS application using modern front-end frameworks (e.g., React, Angular, Vue.js). • Collaborating with designers to implement UI/UX specifications. Writing units, integration, and end-to-end tests to ensure application stability. • Deploying and monitoring applications in cloud environments (e.g., AWS, Azure, GCP). • Optimizing front-end performance. Integrating with back-end APIs. • Developing and maintaining the server-side logic and APIs for the SaaS application. • Ensuring the performance, scalability, and security of the back-end systems. • Writing unit and integration tests for back-end components. Contributing to technical documentation. • Identifying and mitigating technical risks. • Proficiency in one or more programming languages (e.g., Java, Python, JavaScript, C#, Go, Ruby). • Experience with relevant frameworks and libraries.  Understanding of database systems (e.g., relational, NoSQL).  Working with databases and data storage solutions. • Experience with cloud platforms (e.g., AWS, Azure, GCP). • Knowledge of RESTful APIs and microservices architecture. Familiarity with CI/CD pipelines and DevOps practices. • Participating in agile development processes (e.g., Scrum, Kanban). • Coordinated with QA teams on functional and user acceptance testing.