
Data Modelling Specialist
16 hours ago
We are seeking highly skilled and innovative professionals with strong expertise in Azure AI and machine learning to excel in their careers. The ideal candidates will bring deep experience in building and deploying advanced models, particularly working with unstructured data, natural language processing (NLP), and generative AI solutions.
Key Responsibilities:- Design, develop, and deploy machine learning (ML) and artificial intelligence (AI) models on the Azure ecosystem.
- Work extensively with unstructured data sets (text, images, documents) to extract valuable insights and build scalable solutions.
- Apply advanced NLP and natural language generation (NLG) techniques to solve complex business problems.
- Leverage Copilot Studio, AI Foundry, Genie AI in Databricks, and other services for generative AI use cases.
- Collaborate with cross-functional teams to identify opportunities and deliver impactful solutions.
- Continuously explore, test, and implement new algorithms, tools, and frameworks to improve model accuracy and performance.
- Communicate findings and recommendations effectively to technical and non-technical stakeholders.
- Take ownership and accountability for end-to-end project delivery, from data exploration to production deployment.
- Proven experience in Azure Machine Learning, Azure AI services, and Databricks.
- Strong background in NLP, NLG, large language models (LLMs), and generative AI frameworks.
- Experience with unstructured data pipelines and feature engineering.
- Proficiency in Python, PySpark, and relevant libraries.
- Practical experience with Copilot Studio, AI Foundry, Genie AI in Databricks is desirable.
- Strong problem-solving, analytical, and innovation skills.
- Excellent communication and storytelling ability to present solutions.
- Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field.
- Experience in building and deploying enterprise-grade AI solutions in cloud-native environments.
- Prior exposure to generative AI-based copilots, conversational AI, or knowledge assistants.
- Familiarity with MLOps frameworks for productionizing models.
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