AI Voice Clone, Image-to-Image, and Image-to-Video Technology Specialist

Scope of Activity 1. Project Planning and Requirements Analysis: Understand the project's goals and specific technology requirements. Conduct a thorough analysis of the reference technologies (SeaArt, Remarker, [login to view URL]). Develop a detailed project plan with timelines and milestones. 2. Technology Development: Voice Cloning: Develop AI models capable of high-quality voice cloning. Ensure the models can replicate various voice characteristics accurately. Image-to-Image Transformation: Create algorithms for transforming images to achieve desired outputs (e.g., style transfer, enhancement). Image-to-Video Synthesis: Develop AI models for generating videos from images, ensuring smooth transitions and high-quality visuals. 3. API Development: Design and develop APIs to integrate the AI technologies into other platforms. Ensure APIs are well-documented and user-friendly for developers. 4. Testing and Quality Assurance: Implement rigorous testing procedures for all developed technologies. Perform quality assurance to ensure high performance and reliability. 5. Integration and Deployment: Integrate the developed technologies into the target platform. Ensure seamless deployment and address any integration issues. 6. Ongoing Support and Maintenance: Provide ongoing support for any technical issues. Regularly update and improve the AI models and APIs. Required Skills and Knowledge Technical Skills: Deep Learning Frameworks: Proficiency in TensorFlow, PyTorch, or similar frameworks. Generative AI: Experience with Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and other generative models. Voice Cloning: Knowledge of voice synthesis techniques and tools (e.g., WaveNet, Tacotron). Image Processing: Expertise in image transformation and enhancement algorithms. Video Synthesis: Skills in generating high-quality videos from images. API Development: Experience in developing and documenting RESTful APIs. Professional Knowledge: AI and Machine Learning: Strong understanding of AI principles and machine learning techniques. Software Development: Proficiency in programming languages such as Python, C++, or Java. Data Handling: Experience with large datasets and data preprocessing techniques. Project Management: Ability to manage timelines, milestones, and deliverables. Required Experience Proven track record of developing and deploying AI-based projects. Experience with voice cloning, image-to-image, and image-to-video technologies. Portfolio showcasing relevant projects or case studies. Previous work with similar technologies or reference projects (SeaArt, Remarker, [login to view URL]). Ineligible Candidates Lack of Relevant Experience: Candidates without proven experience in AI, machine learning, and generative models. Limited Technical Skills: Candidates who lack proficiency in the required deep learning frameworks and programming languages. No Demonstrable Portfolio: Candidates who cannot provide a portfolio or case studies of similar projects. Poor Communication Skills: Candidates who cannot effectively communicate technical details and project progress. Lack of Professionalism: Candidates who do not exhibit reliability, attention to detail, and a commitment to high-quality work. Additional Notes for Candidates To apply, please ensure you provide the following: Resume and Cover Letter: Detailing your experience and skills relevant to the project. Portfolio: Showcasing similar projects, specifically highlighting work in voice cloning, image-to-image, and image-to-video technologies. Project Proposal: Outline your approach to duplicating the reference technologies and integrating them via APIs.