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 : Microsoft Azure DevOps, Infrastructure As Code (IaC), GitLab CI/CD, security scanning (SAST/DAST),Azure Container Regi, Compliance and audit logging, Azure Policy, RBAC 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 tools and cloud-based AI services. The role requires managing application pipelines that are production-ready, whether deployed on cloud platforms or on-premises. The engineer integrates generative AI models into solutions and works on diverse AI technologies such as deep learning, neural networks, chatbots, and image processing. Collaboration with various teams to ensure seamless deployment and operational efficiency is a key part of daily activities, along with continuous innovation to enhance AI-driven functionalities. 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 implementation of AI and machine learning solutions ensuring alignment with project goals and timelines. - Facilitate knowledge sharing and mentoring within the team to foster professional growth and technical excellence. - Coordinate cross-functional efforts to troubleshoot and resolve complex technical challenges. - Support junior team members by providing guidance and assisting in their development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure DevOps, Infrastructure As Code (IaC), GitLab CI/CD. - Strong experience in designing and managing continuous integration and continuous deployment pipelines. - In-depth understanding of cloud infrastructure management and automation. - Ability to implement scalable and secure AI/ML workflows in cloud environments. - Familiarity with containerization and orchestration technologies to support AI applications. - Experience in monitoring and optimizing AI model performance in production settings. Must Need Knowledge In: Azure DevOps, GitHub Actions, CI/CD pipeline design Microsoft Defender for DevOps, security scanning (SAST/DAST) Azure Container Registry, AKS, Infrastructure as Code (Bicep/Terraform) Compliance and audit logging, Azure Policy, RBAC Additional Information: - The candidate should have minimum 5 years of experience in Microsoft Azure DevOps. - This position is based at our Bengaluru 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.