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 Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI / Machine Learning Engineer, a typical day involves designing and building advanced applications and systems that integrate artificial intelligence technologies and cloud-based services. The role requires managing the deployment pipelines for both cloud and on-premises environments, ensuring solutions are production-ready and scalable. The engineer works on incorporating generative artificial intelligence models into various projects, which may include deep learning frameworks, neural network architectures, conversational agents, and image analysis tools. Collaboration with cross-functional teams to align technical implementations with project goals is a key aspect of daily activities, fostering innovation and efficiency in delivering AI-driven solutions. 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 integration of artificial intelligence models into production environments, ensuring robustness and reliability. - Mentor junior team members by sharing knowledge and guiding their technical growth. - Coordinate with stakeholders to align project objectives with technical deliverables. - Continuously evaluate emerging AI technologies to enhance existing systems and processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning Operations. - Experience with cloud platforms and deployment pipelines for AI applications. - Strong understanding of generative artificial intelligence models and their practical applications. - Familiarity with deep learning techniques, neural networks, and related frameworks. - Ability to develop and maintain scalable AI systems in both cloud and on-premises environments. - Skilled in troubleshooting and optimizing AI model performance in production settings. Additional Information: - The candidate should have minimum 5 years of experience in Machine Learning Operations. - This position is based at our BDC7C - SEZ 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.