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 : Machine Learning Operations, DevOps 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 tools and cloud-based AI services. The role requires managing application pipelines that are either cloud-hosted or on-premises, ensuring they meet production-level standards. The engineer integrates generative AI models into solutions and works on diverse technologies such as deep learning, neural networks, chatbots, and image processing. Collaboration with cross-functional teams to align AI capabilities with project goals and continuous refinement of AI-driven applications 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 stakeholders to understand requirements and translate them into technical solutions. - Maintain and optimize AI application pipelines to ensure reliability and scalability. - Support junior team members by sharing knowledge and providing guidance. - Continuously monitor and improve the performance of deployed AI models. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning Operations, DevOps. - Experience with cloud platforms and managing AI service integrations. - Strong understanding of model deployment, monitoring, and lifecycle management. - Familiarity with containerization and orchestration tools to support scalable AI solutions. - Ability to troubleshoot and resolve issues in production AI pipelines. - Knowledge of data preprocessing and feature engineering techniques relevant to AI workflows. Additional Information: - The candidate should have minimum 3 years of experience in Machine Learning Operations. - This position is based at our Pune office. - A 15 years full time education is required. 15 years full time education Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.