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 : Machine Learning (ML), Generative AI, Agentic AI 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 leverage artificial intelligence technologies and cloud-based services. The role requires managing end-to-end development pipelines, ensuring solutions are production-ready and scalable. Daily activities may include integrating generative artificial intelligence models into various projects, working with deep learning frameworks, and developing intelligent systems such as chatbots and image processing tools. Collaboration with cross-functional teams to align technical solutions with project goals is also a key part of the daily routine, fostering innovation and continuous improvement. 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 enhance project outcomes and share knowledge. - Assist in troubleshooting and resolving technical challenges during development and deployment. - Support junior team members by providing guidance and sharing best practices. - Continuously update skills and knowledge to stay current with emerging AI and machine learning trends. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning (ML), Generative AI, Agentic AI. - Strong experience in designing and implementing machine learning models and algorithms. - Familiarity with cloud AI services and deployment of AI solutions in cloud or on-premises environments. - Knowledge of deep learning techniques, neural networks, and their practical applications. - Ability to develop and optimize AI-driven applications such as chatbots and image processing systems. Additional Information: - The candidate should have minimum 3 years of experience in Machine Learning (ML). - 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.