AI Decision Science Manager in Bombay, भारत

About the Software & Platforms Team : The team is focused on driving Data & AI based solutions for SaaS and PaaS clients for the company. The team collaborates actively with onsite counterparts to help identify opportunities for growth as well as drives client deliveries from https://jobeax.com/link/wu8FugQwCWA9YRQB's in it for you?- As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance.- The company will continually invest in your learning and growth. You'll work with experts in SaaS & PaaS and the company will support you in growing your own tech stack and certifications.- In Data & AI you will understand the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement https://jobeax.com/link/tNbddyq2RP3iZu3n you would do in this role : As a Data Science Manager, you will play a critical role in driving the development and implementation of artificial intelligence (AI) solutions focused on Generative AI and LLM for our Software & Platform clients. Your responsibilities will involve overseeing the end-to-end process of designing, building, and deploying AI-powered systems that deliver business value and enhance operational https://jobeax.com/link/7AbzEoKq1QWAaTBq Responsibilities : 1. Strategy and Planning : - Collaborate with clients to understand their business objectives and identify AI opportunities.- Develop AI strategies and roadmaps that align with client goals and company's capabilities.- Conduct market research and stay updated on the latest advancements and trends in AI technologies.2. Project Management : - Lead and manage cross-functional teams for multiple projects throughout the project lifecycle.- Define project scope, deliverables, timelines, and resource allocation.- Ensure project milestones are achieved within budget and meet quality standards.- Monitor project progress, identify risks, and develop mitigation strategies.3. AI Solution Design and Development : - Work closely with data scientists, engineers, and business analysts to design AI solutions.- Identify appropriate AI algorithms and techniques to solve specific business problems.- Oversee the development and testing of AI models, ensuring accuracy and reliability.- Collaborate with IT teams to integrate AI solutions into existing technology ecosystems.4. Client Engagement and Relationship Management : - Build and maintain strong relationships with clients, acting as a trusted advisor.- Present and communicate AI concepts, solutions, and project updates to client stakeholders.- Identify upselling and cross-selling opportunities to expand client engagements.- Provide guidance and support to clients in leveraging AI capabilities for business growth.5. Team Leadership and Development : - Mentor and guide a team of AI professionals, fostering a culture of innovation and excellence.- Develop talent within the team, providing coaching and training as necessary.- Promote collaboration and knowledge sharing across project teams and the broader https://jobeax.com/link/aTUynKu7aAVKrv6c Qualifications : - Bachelor's or Master's degree in computer science, engineering, data science, or a related quantitative field.- Experience working for large Software or Platform organizations.- Proven experience (8+ years) in managing AI projects and delivering successful outcomes.- Hands-On exposure to Generative AI frameworks and implementations.- Strong knowledge of AI technologies, including machine learning, natural language processing, computer vision, etc.- Familiarity with popular AI frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn).- Proficiency in programming languages such as Python, R, or Java.- Excellent analytical and problem-solving skills, with a data-driven mindset.- Strong project management abilities, including planning, resource management, and risk assessment.- Exceptional communication and interpersonal skills to engage effectively with clients and internal stakeholders.- Ability to work in a fast-paced, dynamic environment and manage multiple priorities. (ref:hirist.tech)