As a Generative AI Data Scientist Lead at Accenture AI, you will be joining the Banking team to leverage your expertise in Generative AI models, Machine Learning, Data Analysis, and Cloud Platforms. Your role will involve collaborating with cross-functional teams to design, develop, and implement innovative generative AI solutions to enhance our AI capabilities.

• *Roles & Responsibilities:**
- Take ownership of end-to-end project delivery, from problem definition to solution deployment, with minimal supervision.
- Lead and mentor a small development pod (team) of data scientists and engineers to ensure collaboration, innovation, and timely delivery of high-quality solutions.
- Design, develop, and deploy state-of-the-art generative AI models for various applications such as text generation, image synthesis, and content creation.
- Provide strategic recommendations to clients on integrating generative AI into their workflows and business processes.
- Ensure responsible use of generative AI by addressing biases, ethical concerns, and compliance with regulations.
- Develop evaluation metrics to assess the performance of generative models and ensure they meet quality standards.
- Collaborate with product managers, engineers, and stakeholders to deliver impactful AI solutions.
- Stay updated with the latest advancements in generative AI and machine learning to improve existing models and techniques.
- Guide and mentor junior team members to foster innovation and continuous learning.

• *Professional & Technical Skills:**
- 6+ years of experience in Data Science, Machine Learning, or related fields with a focus on Generative AI models.
- Proficiency in Python programming and experience with machine learning frameworks like TensorFlow and PyTorch.
- Hands-on experience with cloud platforms such as AWS, GCP, Azure for deployment and solution building.
- Ability to work with Docker, Kubernetes, and API Development for deploying generative AI models.
- Strong analytical, problem-solving, and critical thinking skills.
- Expertise in ethical AI practices and understanding biases and regulations in Generative AI.
- Excellent verbal and written communication skills to convey complex concepts effectively.

• *Additional Information:**
You should have experience in large-scale data processing and cloud computing platforms, familiarity with NLP, computer vision, and other AI applications, contributions to open-source AI/ML projects, experience in cloud integrations, performance optimization, and strong leadership skills in guiding teams and managing AI projects.

(Note: The section about the company details has been omitted as it was not provided in the job description.) As a Generative AI Data Scientist Lead at Accenture AI, you will be joining the Banking team to leverage your expertise in Generative AI models, Machine Learning, Data Analysis, and Cloud Platforms. Your role will involve collaborating with cross-functional teams to design, develop, and implement innovative generative AI solutions to enhance our AI capabilities.

• *Roles & Responsibilities:**
- Take ownership of end-to-end project delivery, from problem definition to solution deployment, with minimal supervision.
- Lead and mentor a small development pod (team) of data scientists and engineers to ensure collaboration, innovation, and timely delivery of high-quality solutions.
- Design, develop, and deploy state-of-the-art generative AI models for various applications such as text generation, image synthesis, and content creation.
- Provide strategic recommendations to clients on integrating generative AI into their workflows and business processes.
- Ensure responsible use of generative AI by addressing biases, ethical concerns, and compliance with regulations.
- Develop evaluation metrics to assess the performance of generative models and ensure they meet quality standards.
- Collaborate with product managers, engineers, and stakeholders to deliver impactful AI solutions.
- Stay updated with the latest advancements in generative AI and machine learning to improve existing models and techniques.
- Guide and mentor junior team members to foster innovation and continuous learning.

• *Professional & Technical Skills:**
- 6+ years of experience in Data Science, Machine Learning, or related fields with a focus on Generative AI models.
- Proficiency in Python programming and experience with machine learning frameworks like TensorFlow and PyTorch.
- Hands-on experience with cloud platforms such as AWS, GCP, Azure for deployment and solution building.
- Ability to work with Docker, Kubernetes, and API Development for deploying generative AI models.
- Strong analytical, problem-solving, and critical thinking skills.
- Expertise in ethical AI practices and understanding biases and regulations in Generative AI.
- Excellent verbal and written communication skills to convey complex concepts effectively.

• *Additional Information:**

You should have experience in large-sca