AI / ML Engineer

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 : Large Language Models (LLMs) Good to have skills : NA Minimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based or on-premises pipelines to ensure solutions are production-ready and scalable. The work often includes applying generative artificial intelligence models to solve complex problems and enhance system capabilities. Additionally, the role may involve working with deep learning techniques, neural networks, conversational agents, and image processing tasks to create innovative and efficient AI-driven solutions that meet organizational needs. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with cross-functional teams to understand requirements and deliver AI solutions that align with business goals. - Continuously research and stay updated with the latest advancements in artificial intelligence and machine learning to enhance project outcomes. - Assist junior team members by sharing knowledge and providing guidance to support their professional growth. - Ensure the quality and reliability of AI models through rigorous testing and validation processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models (LLMs). - Experience with designing and deploying AI applications using cloud AI services and on-premises infrastructure. - Strong understanding of generative artificial intelligence models and their practical applications. - Familiarity with deep learning frameworks and neural network architectures. - Ability to develop and optimize AI pipelines for production environments. - Knowledge of chatbot development and image processing techniques. Additional Information: - The candidate should have minimum 2 years of experience in Large Language Models (LLMs). - This position is based at our Pune 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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