AI / ML Engineer

Job description

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 3 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 integrate artificial intelligence technologies. This role requires managing both cloud-based and on-premises application pipelines to ensure solutions are production-ready and reliable. The engineer actively works on incorporating generative AI models into various projects, which may include deep learning frameworks, neural network architectures, conversational agents, and image processing tasks. Collaboration with cross-functional teams to align AI solutions with business needs and continuous refinement of models and systems are key aspects of the daily workflow. 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 team members to optimize AI model deployment and integration. - Assist in troubleshooting and resolving technical challenges in AI applications. - Support junior team members by sharing knowledge and best practices. - Continuously monitor and improve the performance and scalability of AI systems. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models (LLMs). - Experience with designing and implementing AI pipelines for both cloud and on-premises environments. - Strong understanding of generative AI model applications and integration techniques. - Familiarity with deep learning and neural network concepts relevant to AI solution development. - Ability to work with AI tools and cloud AI services to build scalable and efficient systems. - Knowledge of chatbot development and image processing methodologies. Additional Information: - The candidate should have minimum 3 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. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.