In This Role, Your Responsibilities Will Be:

• AI Solution Design & Development
• Build, train, and deploy machine learning models using Azure Machine Learning, Python, Azure AI Foundry and Azure ML SDKs.
• Develop scalable AI pipelines using Azure ML pipelines, AutoML, and cloud-native best practices.
• Integrate Azure AI capabilities—Vision, Language, Speech, and Document Intelligence—into enterprise applications.
• Design and automate AI-driven solutions using the Power Platform (Power Apps, Power Automate, Power Virtual Agents) are integrated with Azure AI Services.
• Utilize Azure AI Studio, Azure AI Foundry to rapidly prototype and deliver generative AI, agentic AI and cognitive solutions.
• Cross-Functional Collaboration
• Partners with data engineers, analytics teams, and business stakeholders to translate business needs into impactful AI solutions.
• Collaborate with Power Platform developers to embed AI models and cognitive services into low-code applications and workflows.
• Contribute to architecture decisions ensuring scalability, maintainability, and alignment with enterprise cloud standards.
• Communicate technical concepts clearly to both technical and non-technical audiences.
• Responsible AI, Security & Governance
• Apply Responsible AI guidelines, ensuring fairness, explainability, and ethical use of machine learning models.
• Enforce data privacy, compliance, and security standards across all AI workloads.
• Support model versioning, governance, and lifecycle management
• MLOps, Monitoring & Optimization
• Implement monitoring and observability for AI workloads using Azure Monitor, Application Insights, and MLflow (where applicable).
• Optimize model performance, reliability, and cost efficiency across training and inference workloads.
• Contribute to CI/CD workflows for ML and Power Platform integrations using Azure DevOps or GitHub Actions.

Who You Are:

• You promote high visibility of shared contributions to goals. You quickly and significantly act in constantly evolving, unexpected situations. You actively seek input from pertinent sources to make timely and well-informed decisions. You handle the risk that comes with moving forward when the outcome is not certain.

For This Role, You Will Need:

• Bachelor’s degree in computer science, Computer Engineering, IT, or related discipline.
• 5+ years of hands-on experience in Azure AI & RPA in a manufacturing set up.
• Hands-on experience designing and deploying AI/ML solutions on Microsoft Azure.
• Experience with Azure AI Studio, Azure AI Foundry, Azure ML Designer, AutoML, and Prompt engineering Flow.
• Strong proficiency in Python and Azure SDKs for ML and Cognitive Services.
• Solid understanding of machine learning concepts: data preparation, model development, evaluation, and deployment.
• Experience with cloud-native development and CI/CD for ML pipelines.
• Strong communication, collaboration, and problem-solving skills.

Preferred Qualifications That Set You Apart:

• Exposure to Microsoft Power Platform and integrating Azure AI models/services into Power Apps, Power Automate, and Copilots.
• Familiarity with MLOps practices and tools such as MLflow, Azure DevOps, or GitHub Actions.
• Microsoft certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate) are an added advantage.
• Working knowledge of Power BI for embedding or visualizing AI-driven insights.

Our Culture & Commitment to You

At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results.

We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.