Role Overview
As an AI / ML Engineer, you will be responsible for designing, training, optimizing, and deploying advanced machine learning models using Azure ML and Microsoft Fabric. You will work closely with cross-functional teams to develop forecasting models, scalable ML pipelines, and business intelligence dashboards that drive strategic decision-making.
🔹 Key Responsibilities
✔ Develop, train, and optimize ML models using Azure ML and AutoML
✔ Build forecasting and predictive analytics solutions using Prophet
✔ Design and implement end-to-end data pipelines with Microsoft Fabric
✔ Create interactive dashboards and business reports using Power BI
✔ Collaborate with data engineers, analysts, and stakeholders to translate business requirements into ML solutions
✔ Ensure scalability, reproducibility, and performance optimization of ML workflows
✔ Deploy and maintain production-ready AI/ML applications
🔹 Required Skills & Expertise
✅ Strong hands-on experience in Python
✅ Expertise in Azure ML and AutoML
✅ Experience working with Microsoft Fabric
✅ Strong understanding of Scikit-learn and Prophet
✅ Advanced Power BI dashboarding and reporting skills
✅ Proven experience in predictive analytics and forecasting models
✅ Ability to build and deploy scalable production-grade ML solutions
✅ Minimum 8 years of experience in AI/ML engineering
🔹 What We’re Looking For
We are seeking a proactive and solution-oriented professional with strong problem-solving skills, excellent communication abilities, and experience working in collaborative remote environments. The ideal candidate should be comfortable owning end-to-end ML workflows and delivering impactful business outcomes.