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 Good to have skills : NA Minimum 5 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 integrating various AI models into scalable and production-ready pipelines, whether deployed on cloud platforms or on-premises environments. Daily activities may include developing solutions that incorporate generative artificial intelligence models, deep learning techniques, neural networks, and other AI-driven components such as chatbots and image processing tools. Collaboration with cross-functional teams to ensure seamless deployment and continuous improvement of AI applications is also a key aspect of the role. 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 meet business requirements. - Mentor junior team members to enhance their technical skills and project contributions. - Coordinate with stakeholders to align AI initiatives with organizational goals and ensure timely delivery. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning (ML), Generative AI, Agentic AI. - Strong knowledge of deep learning frameworks and neural network architectures. - Experience in developing and deploying AI models in cloud and on-premises environments. - Familiarity with AI application pipelines and production-grade system design. - Ability to work with various AI tools including chatbots, image processing, and natural language processing techniques. Additional Information: - The candidate should have minimum 5 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.