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2 Job openings at GAAYA REALTECH
Ai Engineer

Ponnani, Kerala, India

2 - 10 years

None Not disclosed

Remote

Full Time

The Opportunity: AI Engineer Are you an AI Engineer with a passion for transforming lives through technology? Do you dream of building intelligent systems that can democratize access to high-quality education on a global scale? If so, then this is your chance to be at the forefront of an educational revolution! As an AI Engineer, you'll be a crucial architect of our client's innovative platform. You'll dive deep into complex challenges, leveraging your expertise in machine learning, natural language processing, and data science to create intelligent features that personalize learning paths, provide insightful feedback, and elevate the educational experience for millions. This role offers the unique opportunity to see your work directly impact learners across the globe, shaping their future and contributing to a more equitable and accessible educational landscape. We're looking for someone who is not just technically brilliant, but also a strategic thinker, a collaborative team player, and someone who thrives on solving scalable problems. You'll be part of a dynamic team, working closely with product managers, data scientists, and educators to bring groundbreaking ideas to life. Who You Are: You are a smart, intelligent, and highly communicative individual with strong collaboration skills. You possess a keen analytical mind and a drive to innovate. While the initial setup is remote, you'll be excited by the prospect of relocating to the vibrant, forward-thinking city of Dubai later this year, embracing a new adventure and becoming part of a thriving tech ecosystem. You have a solid foundation with 2-10 years of experience, with a preference for 2-5 years, allowing you to bring fresh perspectives while also having a proven track record. If you're ready to make a significant impact, to build something truly meaningful, and to join a company that values innovation, collaboration, and a world-class work environment, then we invite you to embark on this exciting journey with us.

MlOps Engineer

Ponnani, Kerala, India

10 years

None Not disclosed

Remote

Full Time

Join the Journey: MlOps Engineer at Gaaya Realtech (Dubai, UAE 🌍) Imagine building the technology that’s reshaping real estate globally, backed by visionary architects and innovators at Gaaya Realtech. We don’t just construct buildings—we’re crafting smarter cities and intelligent spaces for tomorrow. About Gaaya Realtech We’re a powerhouse at the intersection of construction, architecture, and advanced realty. Our drive? Pioneering innovation and technology in real estate—making every project not just a structure, but a story. Our Client: Revolutionizing Global EdTech You’ll work directly with a funded, high-growth EdTech startup. Our mission tackles a worldwide challenge with scalable solutions, initially targeting the US and Canadian markets—all from the heart of Dubai. Think competitive packages, a collaborative work culture, and a journey that begins remotely before relocating to the dazzling UAE. The Opportunity: MlOps EngineerYour Story Starts Here Picture this: Each day, you contribute to real solutions that accelerate business and education for a global audience. You'll be central to deploying, automating, and managing machine learning systems that scale from POC to world-class production. Why You Belong Here Impact at Scale: Your work powers products that touch users across continents. Smart, Collaborative Team: Join a diverse, talented group—where ideas spark and innovation flourishes. Growth & Challenge: You’ll dive into pioneering projects, sharpening your edge in MlOps, cloud, and automation. Future-Forward Environment: Join us remotely today and collaborate in one of the world’s most inspiring cities (Dubai) tomorrow! What We’re Looking For Experience: 2–10 years in industry, ideally 2–5. Skills: Smart, solution-oriented, collaborative. Fluent communicator eager for knowledge-sharing. Passionate about deploying, scaling, and automating ML systems.

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