Data Science + GCP

Job Summary: is seeking a dynamic and highly skilled Gen AI Engineer + Data Scientist to join our cutting-edge team. In this role, you will leverage your expertise in generative AI and data science to develop state-of-the-art models, uncover data-driven insights, and drive innovation for our clients across diverse industries. Key Responsibilities: Design and implement generative AI models (e.g., GPT, GANs) for natural language processing, image generation, and other applications. Develop machine learning models to analyze large datasets and provide actionable business insights. Collaborate with cross-functional teams to deliver AI-powered solutions aligned with business objectives. Perform data preprocessing, feature engineering, and model validation using advanced statistical techniques. Maintain AI models in production environments, ensuring continuous improvement and performance. Work with cloud platforms (GCP, AWS, Azure) to deploy AI models and ensure scalable AI architecture. Stay abreast of the latest advancements in generative AI, machine learning, and data science methodologies. Qualifications: Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field. Strong hands-on experience with generative AI models and frameworks such as GPT, DALL E, and GANs. Proficiency in Python and AI/ML libraries (TensorFlow, PyTorch, Scikit-learn, etc.). Experience with cloud computing platforms like AWS, Azure, or GCP. Strong analytical and problem-solving skills with experience handling large datasets. Excellent communication and collaboration skills to work in a fast-paced environment. Preferred Qualifications: Masters in AI, Data Science, or related fields. Experience with MLOps practices and AI model governance. Knowledge of LLMs, transformers, and deep learning architectures.