- 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 :

- Bachelors 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 perspectivesbecause 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.