Join Accenture AI as a Generative AI Data Scientist Consultant and drive innovation within our Banking team. You will utilize your expertise in Generative AI, Machine Learning, Data Analysis, and Cloud Platforms to craft cutting-edge solutions and elevate AI capabilities. This role offers a dynamic opportunity to collaborate with diverse teams, shaping and implementing advanced generative AI solutions to address complex business challenges.

Your contributions will be key in developing and deploying sophisticated AI models, making a tangible impact on client projects. This position is ideal for a motivated professional seeking to push the boundaries of AI in a collaborative and forward-thinking environment.

Collaborate closely with product managers and engineers to translate requirements into impactful AI solutions. Containerize and deploy generative AI models using Docker, Kubernetes, and leading cloud platforms like AWS, Azure, or Google Cloud. Design, develop, and deploy robust APIs for generative AI models, facilitating seamless integration into client systems. Engage with clients to understand their technical needs and deliver tailored API solutions. Integrate generative AI models into existing workflows and applications via well-defined APIs. Optimize API performance for speed, scalability, and reliability. Develop and maintain data pipelines for real-time and batch processing of generative AI models. Implement robust security measures and ensure compliance with data privacy regulations. Create comprehensive API documentation, including usage guides and troubleshooting resources. Establish automated testing and monitoring systems to guarantee API reliability. Stay abreast of the latest advancements in generative AI, API development, and cloud technologies.

A minimum of 2-5 years of experience in Data Science or Machine Learning, with a significant focus on Generative AI models (LLMs) and API development. Strong proficiency in Python programming and hands-on experience with machine learning frameworks. Expertise in API development and deployment, utilizing tools such as Docker, Kubernetes, and major cloud platforms (AWS, GCP, Azure). Demonstrated ability to build and optimize data pipelines specifically for generative AI models. Solid understanding of security best practices and regulatory compliance in AI solutions. Excellent analytical, problem-solving, and creative thinking skills. Strong communication skills, with the ability to articulate complex technical concepts to various audiences. A Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related Analytics field from a reputable institution is required.