AI Engineer

Key Responsibilities:

• Collaborate with data modellers to prepare and optimise datasets for AI model training and inference.
• Design and implement data pipelines that support AI/ML workflows, including feature engineering and model monitoring.
• Integrate AI-powered analytics and predictive models into business intelligence tools like Power BI.
• Evaluate and implement AI services (e.g., Azure Cognitive Services, OpenAI, or custom ML models) to enhance data products and user experiences.

Qualifications:

• SQL, DBT, ADF, DAX, Power BI, Snowflake.
• AI/ML Integration: Experience integrating AI/ML models into data pipelines and analytics platforms.
• Data Modeling: Hands-on experience in designing and implementing complex data models, with a strong understanding of normalization, denormalization, and schema designs such as star schema and snowflake schema.
• Ingestion Processes: Hands-on experience in developing and optimizing EL (Extract and Load) processes using ADF (Azure Data Factory).
• Data Transformation Processes: Hands-on experience in developing and optimizing DBT (Data Build Tool) models, including data testing.
• Data Warehousing: Understanding of data warehousing concepts and best practices, particularly with the Snowflake platform, including optimization strategies, query tuning, and clustering.
• Cloud Platforms: Experience with Azure, particularly in relation to data storage, integration, processing, and AI services.
• Programming Languages: Proficiency in SQL and DAX; familiarity with Python or R for AI/ML tasks is a plus.
• Visualization Expertise: Experience creating interactive and performant visualizations using Power BI, including designing and maintaining semantic models.
• AI Training & Development: Experience working with the data, systems, and architecture to train and develop new AI-powered analytics and functionality.

Relevant Certifications:

• PL-300: Power BI Data Analyst Associate
• DP-203: Azure Data Engineer Associate
• SnowPro Core Certification
• SnowPro Advanced: Data Analyst
• SnowPro Advanced: Data Engineer (DEA-C02)
• AI-102: Designing and Implementing an Azure AI Solution (Recommended)
• Microsoft Certified: Azure AI Engineer Associate (Optional but valuable)

Top 3 Skill Sets/Technologies Required:

• AI/ML
• Data Modeling
• Power BI