Manager

Role Overview: Accenture AI is seeking a talented and motivated Generative AI Data Scientist Lead to join our Banking team. As a Generative AI Data Scientist Lead, you will leverage your expertise in Generative AI models, Machine Learning, Data Analysis, and Cloud Platforms to drive and lead the development & delivery of innovative solutions and enhance our AI capabilities. Your role will involve collaborating with cross-functional teams to design, develop, and implement generative AI solutions that meet our business needs. Key Responsibilities: - **Independent Project Leadership:** Take ownership of end-to-end project delivery, from problem definition to solution deployment, with minimal supervision. - **Pod Leadership:** Lead and mentor a small development pod (team) of data scientists and engineers, ensuring collaboration, innovation, and timely delivery of high-quality solutions. - **Model Development:** Design, develop, and deploy state-of-the-art generative AI models (e.g., GPT, DALLE, Stable Diffusion, GANs) for applications such as text generation, image synthesis, content creation, and more. - **Strategy Development:** Provide strategic recommendations to clients on how to integrate generative AI into their workflows and business processes. - **Ethical AI Practices:** Ensure responsible use of generative AI by addressing biases, ethical concerns, and compliance with regulations. - **Performance Evaluation:** Develop evaluation metrics and methodologies to assess the performance of generative models and ensure they meet quality standards. - **Collaboration:** Work closely with product managers, engineers, and other stakeholders to understand requirements and deliver impactful AI solutions. - **Research and Innovation:** Stay up-to-date with the latest advancements in generative AI and machine learning, applying that knowledge to improve existing models and techniques. - **Mentorship:** Guide and mentor junior team members, fostering a culture of innovation and continuous learning. Qualifications Required: - 6+ years of experience in Data Science, Machine Learning, or related fields with a focus on Generative AI models (LLMs). - Expert proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow, PyTorch). - Hands-on experience with cloud platforms (AWS, GCP, Azure), including deployment and solution building. - Ability to work with Docker, Kubernetes, and API Development to deploy generative AI models. - Strong analytical, problem-solving, and critical thinking skills. - Expertise in ethical AI practices and understanding of the biases and regulations surrounding Generative AI. - Excellent verbal and written communication skills, with the ability to clearly convey complex concepts to diverse audiences. Additional Information: Experience with large-scale data processing and cloud computing platforms. Familiarity with NLP, computer vision, and other AI applications. Publications or contributions to open-source AI/ML projects. Experience in cloud integrations and performance optimization. Strong leadership skills with experience in guiding teams and managing AI projects. Role Overview: Accenture AI is seeking a talented and motivated Generative AI Data Scientist Lead to join our Banking team. As a Generative AI Data Scientist Lead, you will leverage your expertise in Generative AI models, Machine Learning, Data Analysis, and Cloud Platforms to drive and lead the development & delivery of innovative solutions and enhance our AI capabilities. Your role will involve collaborating with cross-functional teams to design, develop, and implement generative AI solutions that meet our business needs. Key Responsibilities: - **Independent Project Leadership:** Take ownership of end-to-end project delivery, from problem definition to solution deployment, with minimal supervision. - **Pod Leadership:** Lead and mentor a small development pod (team) of data scientists and engineers, ensuring collaboration, innovation, and timely delivery of high-quality solutions. - **Model Development:** Design, develop, and deploy state-of-the-art generative AI models (e.g., GPT, DALLE, Stable Diffusion, GANs) for applications such as text generation, image synthesis, content creation, and more. - **Strategy Development:** Provide strategic recommendations to clients on how to integrate generative AI into their workflows and business processes. - **Ethical AI Practices:** Ensure responsible use of generative AI by addressing biases, ethical concerns, and compliance with regulations. - **Performance Evaluation:** Develop evaluation metrics and methodologies to assess the performance of generative models and ensure they meet quality standards. - **Collaboration:** Work closely with product managers, engineers, and other stakeholders to understand requirements and deliver impactful AI solutions. - **Research and Innovation:** Stay up-to-date with the latest advancements in generative AI an