S&C Global Network (Mumbai)

Role Overview: Accenture AI is seeking a talented and motivated Generative AI Data Scientist Consultant to join the Banking team. You will leverage your expertise in Generative AI models, Machine Learning, Data Analysis, and Cloud Platforms to develop creative solutions and enhance AI capabilities. Your role will involve collaborating with cross-functional teams to design, develop, and implement generative AI solutions that meet business needs. Key Responsibilities: - Collaboration: Work closely with product managers, engineers, and stakeholders to understand requirements and deliver impactful AI solutions. - Model Deployment: Containerize and deploy generative AI models using tools like Docker, Kubernetes, and cloud platforms (e.g., AWS, Azure, Google Cloud). - API Development: Design, develop, and deploy robust APIs to expose generative AI models (e.g., GPT, DALLE, Stable Diffusion, GANs) for integration into client systems and applications. - Client Collaboration: Collaborate with clients to understand their technical requirements and deliver tailored API solutions that meet their business needs. - Generative AI Model Integration: Integrate generative AI models into client systems and applications to enhance AI capabilities. Qualification Required: - Bachelor's or Masters in Computer Science, Data Science, Statistics, Engineering, or related Analytics discipline from a premier institute. - Minimum 3+ years of experience in Data Science, Machine Learning, or related fields with a focus on Generative AI models (LLMs) and API development. (Note: Additional details of the company were not present in the provided job description.) Role Overview: Accenture AI is seeking a talented and motivated Generative AI Data Scientist Consultant to join the Banking team. You will leverage your expertise in Generative AI models, Machine Learning, Data Analysis, and Cloud Platforms to develop creative solutions and enhance AI capabilities. Your role will involve collaborating with cross-functional teams to design, develop, and implement generative AI solutions that meet business needs. Key Responsibilities: - Collaboration: Work closely with product managers, engineers, and stakeholders to understand requirements and deliver impactful AI solutions. - Model Deployment: Containerize and deploy generative AI models using tools like Docker, Kubernetes, and cloud platforms (e.g., AWS, Azure, Google Cloud). - API Development: Design, develop, and deploy robust APIs to expose generative AI models (e.g., GPT, DALLE, Stable Diffusion, GANs) for integration into client systems and applications. - Client Collaboration: Collaborate with clients to understand their technical requirements and deliver tailored API solutions that meet their business needs. - Generative AI Model Integration: Integrate generative AI models into client systems and applications to enhance AI capabilities. Qualification Required: - Bachelor's or Masters in Computer Science, Data Science, Statistics, Engineering, or related Analytics discipline from a premier institute. - Minimum 3+ years of experience in Data Science, Machine Learning, or related fields with a focus on Generative AI models (LLMs) and API development. (Note: Additional details of the company were not present in the provided job description.)