Key Responsibilities:
Data Preparation and Engineering:
- Utilise Azure Data Factory, Azure Synapse Analytics, and Azure Databricks to prepare, transform, and orchestrate data pipelines.
- Ensure data readiness for AI models by leveraging Azure Machine Learning’s Data Labelling and feature extraction capabilities.
AI and Machine Learning Model Development:
- Develop, train, and fine-tune machine learning models using Azure Machine Learning Studio and open-source frameworks like PyTorch or TensorFlow within Azure environments.
- Integrate models into Azure-based products and services, including Power BI, Dynamics 365, and CoPilot, for enhanced user experiences.
CoPilot Integration and Innovation:
- Design and build advanced solutions leveraging the Microsoft CoPilot framework to create intelligent, context-aware applications.
- Collaborate with teams to integrate CoPilot into productivity tools like Microsoft 365 apps, enabling generative AI-powered assistance.
Collaboration with Stakeholders:
- Partner with product managers, engineers, and business leaders to align AI solutions with strategic objectives and enterprise goals of our company.
- Communicate insights effectively through tools like Power BI, ensuring actionable recommendations for decision-makers.
Research and Continuous Improvement:
- Stay at the forefront of AI advancements, including large language models (LLMs), computer vision, and conversational AI within the Azure ecosystem.
- Experiment with and integrate Microsoft innovations, such as GPT-powered Azure OpenAI services, into scalable enterprise solutions.
Qualifications:
- Bachelor’s or Master’s degree in data science, Computer Science, Engineering, or a related field
- Proficient in Python, R, or similar languages, with experience in Azure Machine Learning SDK and Microsoft AI tools.
- Hands-on expertise with Azure cloud services, including Azure Cognitive Services, Azure AI, and Power Automate.
- Solid grasp of machine learning algorithms, natural language processing, and neural networks.
- Experience with MLOps practices, leveraging Azure DevOps for CI/CD pipelines and model versioning.
- Functional Skills-Advanced Machine Learning and AI Techniques, Data Engineering and Processing, Cloud AI and MLOps, Natural Language Processing (NLP)
- Integration with the Microsoft Ecosystem, Data Visualization and Actionable Insights