Total 3 process engineer job vacancies in Pune

How will you make an impact? 

As D365 engineer for Microsoft D365 in the Workplace Solutions domain you will design, refine and implement modern workplace services backed by Microsoft technology to support and enable the organization’s digital workplace environment for all employees at Metro. 

Your Responsibilities: 

• Together with the team and the product manager, you are responsible for the global D365 services 

• You take care of the configuration and operation of METRO’s central D365 Finance & Operations platform providing workplace service for all employees 

• Hands-on expertise in Lifecycle Services (LCS) for environment management, monitoring, and deployment. 

• Administration and support of MS Portal and integration with D365 applications. 

• Designing and implementing Logic Apps for automation and integration scenarios. 

• Managing user access(in MS portal as well), roles, and security compliance across D365 environments. 

• Driving X++ development and customization, ensuring best practices in performance, maintainability, and scalability 

• Plan and Update environments with MS One version updates. 

• Advising and supporting application owners and users with technical queries regarding Microsoft D365 

• Being constantly on the lookout for new development and trends and evaluating their relevance for our users 

• Communication & preparation of relevant changes for users 

• Cooperation with our external service and consulting providers 

• Identifying and implementing optimization potential to continuously improve the solutions being used. 

• Responsible for support as well as enhancements in existing product. 

Role Overview

An AI Engineer at METRO unlocks the potential of AI for full organization. Rapidly delivers business-driven AI solutions by integrating existing cloud models and APIs, rather than inventing new algorithms. An AI Engineer builds digital agents and engineers the future of smart wholesale by delivering pragmatic, secure, maintainable, and observable AI powered solutions, that drive business value. Curious to get more information about the team, the products, or the tech stack?

Key Responsibilities

• Rapidly deliver business-driven AI solutions by integrating existing cloud models and APIs, focusing on practical implementation rather than developing new algorithms.
• Translate business goals into AI-powered solutions, ensuring technical feasibility through collaboration with squad leads, data scientists, architects, and full stack engineers.
• Integrate Google Cloud AI services and models into microservices and workflows to support scalable and maintainable solutions.
• Design, implement, deploy, and monitor intelligent agents to support automation and personalization.
• Build and maintain CI/CD pipelines using Cloud Build and GitHub Actions, collaborating closely with DevOps engineers and SREs for robust deployment and monitoring.
• Maintain comprehensive documentation including API references, runbooks, architecture diagrams, and conduct internal demos and training sessions.
• Ensure all AI solutions comply with METRO’s corporate policies on responsible AI and ethical standards.

Role Overview

An AI Engineer at METRO unlocks the potential of AI for full organization. Rapidly delivers business-driven AI solutions by integrating existing cloud models and APIs, rather than inventing new algorithms. An AI Engineer builds digital agents and engineers the future of smart wholesale by delivering pragmatic, secure, maintainable, and observable AI powered solutions, that drive business value. Curious to get more information about the team, the products, or the tech stack?

Key Responsibilities

• Rapidly deliver business-driven AI solutions by integrating existing cloud models and APIs, focusing on practical implementation rather than developing new algorithms.
• Translate business goals into AI-powered solutions, ensuring technical feasibility through collaboration with squad leads, data scientists, architects, and full stack engineers.
• Integrate Google Cloud AI services and models into microservices and workflows to support scalable and maintainable solutions.
• Design, implement, deploy, and monitor intelligent agents to support automation and personalization.
• Build and maintain CI/CD pipelines using Cloud Build and GitHub Actions, collaborating closely with DevOps engineers and SREs for robust deployment and monitoring.
• Maintain comprehensive documentation including API references, runbooks, architecture diagrams, and conduct internal demos and training sessions.
• Ensure all AI solutions comply with METRO’s corporate policies on responsible AI and ethical standards.