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Company Description Aurinko IT Solutions Pvt. Ltd. is a Hyderabad-based deep-tech software company building next-generation enterprise platforms in the B2B SaaS domain. The company develops scalable and intelligent software solutions that simplify and modernize complex, large-scale data and infrastructure environments. Aurinko focuses on enterprise-grade systems that support data-driven organizations with improved efficiency, scalability, and reliability. Founded in India with a global vision, Aurinko aims to shape the future of enterprise technology by delivering robust, future-ready platforms for businesses worldwide.
Role Description This is a full-time, on-site Software Engineer AI/ML role based in Hyderabad. The Software Engineer will design, develop, and deploy backend services and AI/ML components for enterprise SaaS platforms. Day-to-day responsibilities include writing clean, scalable code, implementing algorithms and data pipelines, integrating AI/ML models into production systems, and collaborating with cross-functional teams on feature design and architecture. The role involves code reviews, performance optimization, testing, and documentation to ensure high-quality, maintainable software. The engineer will also stay current with industry best practices and emerging technologies in AI/ML and backend development.
Qualifications
Strong foundation in core Computer Science concepts such as data structures, algorithms, operating systems, and databases.
Proficiency in Programming and Object-Oriented Programming (OOP), with experience in one or more modern languages (e.g., Python, Java, C++, Go).
Hands-on experience in Software Development, including system design, implementation, testing, and maintenance of production-grade applications.
Experience in Back-End Web Development, including RESTful APIs, microservices, and integration with databases or distributed systems.
Practical experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn) and building data pipelines is highly beneficial.
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization/orchestration tools (e.g., Docker, Kubernetes) is an advantage.
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
Ability to work collaboratively in a team environment, communicate clearly, and take ownership of technical tasks and deliverables.
Work arrangement
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