1 to 3 years of experience in developing Generative AI models or working with big data experience with generative AI models (e.g. GPT GANs VAEs) and deep learning frameworks like TensorFlow PyTorch or development experience including proficiency in frontend frameworks (e.g. React Angular) and backend technologies (e.g. Python Flask Django).Proficiency in API design and development (RESTful APIs GraphQL). Solid knowledge of databases (SQL NoSQL) and experience with cloud platforms (AWS GCP Azure).Solid experience in data analytics including proficiency with Python R or SQL for analyzing datasets and generating with data visualization tools (e.g. Matplotlib Seaborn Tableau Power BI) to communicate insights experience with big data tools (e.g. Spark SQL Hive HBase) and data storage (e.g. NoSQL databases like Cassandra MongoDB or HDFS).Experience with containerization (Docker) and version control systems (Git).Strong programming skills in Python and JavaScript as well as familiarity with JavaScript frameworks for frontend to deploy AI models in realworld production environments and integrate them with fullstack working with deployment pipelines (CI/CD) and cloudbased mindset with a focus on optimizing both AI models and fullstack communication skills and the ability to collaborate in a crossfunctional Skills:Experience with reinforcement learning selfsupervised learning or multimodal with DevOps tools and practices including Docker Kubernetes and of serverless computing and cloudnative application with frontend frameworks (e.g. Angular) and state management systems (e.g. Redux Vuex).Exposure to multimodal AI models (combining text images or video).Experience with data pipelines and working with largescale datasets.