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) Good to have

skills:
NA Minimum 7.5 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, including generative AI, into scalable and production-ready pipelines, whether deployed on cloud platforms or on-premises environments. The engineer collaborates with cross-functional teams to ensure seamless implementation of solutions that may encompass deep learning, neural networks, conversational agents, and image analysis. Continuous refinement and optimization of these systems to meet evolving project requirements and performance standards are key aspects of the daily workflow. 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 development and deployment of AI and machine learning models ensuring alignment with project goals.
• Facilitate knowledge sharing and mentoring within the team to foster professional growth and technical excellence.
• Coordinate with stakeholders to gather requirements and translate them into technical specifications.
• Monitor and evaluate the performance of AI systems, implementing improvements as necessary. Qualified & Technical

Skills:
• Must To Have

Skills:
Proficiency in Machine Learning (ML).
• Strong experience in designing and implementing machine learning algorithms and models.
• Familiarity with cloud AI services and deployment pipelines for production environments.
• Knowledge of generative AI models and their practical applications.
• Experience with deep learning frameworks and neural network architectures.
• Ability to work with AI tools related to chatbots, image processing, and other advanced AI domains. Additional Information:
• The candidate should have minimum 7.5 years of experience in Machine Learning (ML).
• This position is based at our Bengaluru office.
• A 15 years full time education is required.

📌 AI / ML Engineer (Bengaluru)
🏢 Accenture in India
📍 Bengaluru