We are seeking a skilled and motivated Implementation Engineer with hands-on experience in AWS AI/ML solutions and Microsoft Data Fabric. The role focuses on deploying, integrating, and supporting AI/ML workflows on AWS and data modernization initiatives using Microsoft's Data Fabric platforms.

Key Responsibilities:

• Design, implement, and support AWS AI/ML pipelines and solutions.
• Deploy and configure Microsoft Data Fabric components, including data ingestion, transformation, and visualization tools.
• Integrate multi-cloud and on-premises data sources into a unified architecture.
• Automate data workflows using AWS services and Microsoft Fabric Dataflows.
• Ensure successful delivery.
• Ensure security, governance, and scalability of deployed solutions.
• Provide documentation, knowledge transfer, and operational support.

Required Skills:

• Experience in AWS AI/ML services (e.g., Sage Maker, Glue, Kinesis, Lambda).
• Hands-on with Microsoft Fabric or related Azure data services (e.g., Synapse, Data Factory, Power BI).
• Strong knowledge of data integration, ETL/ELT, and data pipelines.
• Familiarity with data security, governance, and cloud best practices.
• Basic programming skills in Python, SQL, or similar.

Preferred Qualifications:

• AWS Certified Machine Learning or AWS Certified Data Analytics.
• Microsoft Certified: Azure Data Engineer or equivalent.
• Experience with multi-cloud or hybrid data environments.