Generative AI Engineer

You are seeking a talented and innovative Generative AI Engineer with experience in leveraging Low-Code/No-Code (LCNC) platforms. In this unique role, you will be at the forefront of developing and deploying cutting-edge generative AI models while utilizing LCNC tools to accelerate prototyping, integration, and application development. Your strong understanding of generative AI techniques, proficiency in programming, and passion for exploring the synergy between AI and rapid application development will be key to success. Responsibilities: - Design, develop, train, and evaluate generative AI models for various applications such as text generation, image synthesis, code generation, and synthetic data generation. - Implement and optimize generative AI models using relevant frameworks like TensorFlow, PyTorch, and Transformers. - Deploy and scale generative AI models on cloud platforms such as AWS, Azure, GCP, or on-premise infrastructure. - Stay up-to-date with the latest advancements in generative AI research and techniques. Utilize LCNC platforms like Zoho Creator, Microsoft Power Apps, OutSystems, Mendix, and Quixy to: - Rapidly prototype and build applications that integrate with generative AI models. - Develop user interfaces and workflows using LCNC visual development tools. - Connect generative AI APIs and services to LCNC applications. - Build and deploy data connectors and integrations between various systems using LCNC capabilities. Design and implement robust APIs and integration strategies to: - Connect generative AI models with other systems and applications. - Collaborate with software engineers and data scientists to build end-to-end AI-powered solutions. - Develop and maintain documentation for AI models, LCNC applications, and integration processes. Research and experiment with new generative AI models, LCNC platforms, and integration techniques to: - Evaluate the feasibility and potential of applying generative AI to solve specific business problems. - Contribute to the development of best practices and guidelines for using generative AI and LCNC tools. Collaborate closely with cross-functional teams, including product managers, designers, and business stakeholders to: - Communicate technical findings and progress effectively to both technical and non-technical audiences. - Participate in code reviews and knowledge-sharing activities. Qualifications: - Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. - Experience: 3+ years of experience in developing and deploying machine learning models, with a focus on generative AI. Proven experience working with at least one or more Low-Code/No-Code development platforms and building/consuming APIs. - Technical Skills: Strong programming skills in Python, experience with relevant AI/ML libraries, understanding of deep learning concepts, cloud platforms, data preprocessing, feature engineering, model evaluation techniques, database concepts, SQL, visual development tools, and integration capabilities of LCNC platforms. - Soft Skills: Strong problem-solving and analytical skills, excellent communication and collaboration abilities, ability to learn quickly and adapt to new technologies, proactive and self-motivated with a strong sense of ownership, passion for innovation and exploring the potential of generative AI. Preferred Qualifications: - Experience with specific generative AI applications relevant to the industry, familiarity with containerization technologies, experience with MLOps practices and tools, certifications in relevant AI/ML or LCNC platforms. You are seeking a talented and innovative Generative AI Engineer with experience in leveraging Low-Code/No-Code (LCNC) platforms. In this unique role, you will be at the forefront of developing and deploying cutting-edge generative AI models while utilizing LCNC tools to accelerate prototyping, integration, and application development. Your strong understanding of generative AI techniques, proficiency in programming, and passion for exploring the synergy between AI and rapid application development will be key to success. Responsibilities: - Design, develop, train, and evaluate generative AI models for various applications such as text generation, image synthesis, code generation, and synthetic data generation. - Implement and optimize generative AI models using relevant frameworks like TensorFlow, PyTorch, and Transformers. - Deploy and scale generative AI models on cloud platforms such as AWS, Azure, GCP, or on-premise infrastructure. - Stay up-to-date with the latest advancements in generative AI research and techniques. Utilize LCNC platforms like Zoho Creator, Microsoft Power Apps, OutSystems, Mendix, and Quixy to: - Rapidly prototype and build applications that integrate with generative AI models. - Develop user interfaces and workflows using LCNC visual development tools. - Connect generative AI APIs and servi