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Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning (ML) Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI / Machine Learning Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires integrating these solutions into robust production pipelines, whether deployed on cloud platforms or on-premises environments. The engineer actively works on implementing generative artificial intelligence models as part of comprehensive solutions, and may also engage in developing deep learning architectures, neural networks, conversational agents, and image processing functionalities. Collaboration and innovation are key aspects throughout the day to ensure high-quality, scalable AI-driven products. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Lead the design and implementation of AI and machine learning solutions that align with project goals and organizational standards. - Mentor junior team members by sharing knowledge and guiding their technical growth. - Coordinate cross-functional efforts to ensure seamless integration of AI components within larger systems. - Continuously evaluate emerging AI technologies and methodologies to enhance existing solutions and drive innovation. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning (ML). - Strong experience in developing and deploying AI models using cloud AI services and on-premises infrastructure. - In-depth understanding of generative AI models and their practical applications. - Hands-on expertise with deep learning frameworks and neural network architectures. - Ability to design and implement production-ready AI pipelines ensuring scalability and reliability. - Familiarity with chatbot development and image processing techniques. Additional Information: - The candidate should have minimum 7.5 years of experience in Machine Learning (ML). - This position is based at our Bengaluru office. - A 15 years full time education is required. 15 years full time education About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. 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