Gen AI Developer

Role Overview: As a Generative AI Developer at Peerislands, you will be responsible for designing, developing, and deploying AI-powered solutions, with a focus on generative models. You will work closely with cross-functional teams to integrate AI capabilities into products and ensure scalability, efficiency, and real-world applicability. Key Responsibilities: Model Development: Design, implement, and fine-tune generative AI models (e.g., GPT, DALL·E, Stable Diffusion, GANs) for various applications. Data Processing: Work with large datasets, perform data augmentation, and optimize model training pipelines. AI Integration: Integrate AI models into applications, ensuring seamless performance and user interaction. Performance Optimization: Optimize AI models for efficiency, scalability, and minimal latency in production environments. Research & Innovation: Stay updated with the latest advancements in Generative AI and contribute to the company's AI roadmap. Collaboration: Work with product managers, designers, and software engineers to build AI-driven features and applications. Deployment & Monitoring: Deploy AI models using cloud platforms (AWS, GCP, Azure) and monitor their real-time performance. Security & Ethics: Ensure AI solutions adhere to ethical AI principles, data privacy regulations, and security best practices. Qualifications & Experience: 8+ years of experience in AI/ML development, with a focus on generative models. Strong understanding of deep learning frameworks such as TensorFlow, PyTorch, or JAX. Experience in training and fine-tuning large-scale transformer models like GPT, BERT, or LLaMA. Proficiency in programming languages like Python and familiarity with AI/ML libraries. Hands-on experience with cloud-based AI services and infrastructure (AWS, GCP, Azure). Strong problem-solving skills and the ability to build scalable AI solutions. Familiarity with AI ethics, bias mitigation, and responsible AI development. Experience in deploying AI models using APIs, microservices, or containerization (Docker, Kubernetes) is a plus.