AI/ML Data Scientist

Role Overview: As the AI & Machine Learning Data Scientist at Accenture, you will play a pivotal role in driving the internal transformation by spearheading the development and implementation of innovative AI and ML solutions. Your primary responsibility will be to collaborate with the Global IT (CIO) organization and senior leaders to enhance operational excellence through cutting-edge AI technologies. You will lead the exploration and execution of advanced Machine Learning projects, including Agentic AI solutions, to revolutionize Accenture's operations on GCP. Key Responsibilities: - Pioneer Internal AI Solutions: Lead the ideation and development of innovative AI and ML solutions for Accenture's internal processes. Conduct R&D and prototyping for emerging technologies like Agentic AI and LLMs to drive tangible value and efficiency for corporate functions. - Enterprise AI & MLOps Strategy: Design and oversee the implementation of a robust MLOps framework on GCP, utilizing tools such as Vertex AI. Define the strategic roadmap and best practices for the ML lifecycle to support Accenture's internal AI platform. - Stakeholder Partnership & Program Leadership: Act as a senior AI advisor to Accenture's C-suite and leaders in corporate functions (e.g., Finance, HR, IT). Collaborate closely with them to shape the internal AI vision and strategy in alignment with business priorities. - ML Solution Development: Lead critical internal machine learning projects, guiding teams in designing solutions for predictive modeling, NLP, and process automation. Demonstrate master proficiency in Machine Learning and expert proficiency in Platform Engineering to develop models and algorithms for solving complex business problems. - Practice and Capability Leadership: Build and mentor a top-tier team of internal AI and ML professionals, establishing and promoting best practices across the organization to drive a culture of data-driven innovation. Qualifications Required: - Proficiency in Artificial Intelligence, Machine Learning, Cloud Technology Architecture, and Natural Language Processing. - Experience in developing and deploying Machine Learning models on GCP, with expertise in feature engineering, model selection, and hyperparameter tuning. - Strong communication skills and the ability to collaborate with senior leaders to conceptualize and execute AI solutions that deliver measurable impact. - Prior experience in managing internal AI projects and guiding cross-functional teams through the implementation lifecycle. (Note: The additional details of the company were not provided in the job description.),