Data & AI Engineering Lead at Bridgenext

Take your expertise to the next level as a Senior Full-Stack Data & AI Engineer age in a collaborative hybrid work environment focusing on the full data lifecycle.

You will be central to developing and managing innovative data solutions that emphasize high-quality outputs and business alignment. The ideal candidate will have a deep understanding of Python, data modeling, and AI implementations within an Azure environment. This position gives you the opportunity to integrate RESTful APIs, supporting scalable applications critical for delivering actionable insights to clients.

Key Responsibilities:

• Own end-to-end processes from data engineering to AI modeling

• Build and manage RESTful APIs ensuring secure access

• Develop backend services for data transformation using Python

• Create dashboards for analytics using Power BI or similar tools

• Deploy containerized applications via Azure Kubernetes Service (AKS)

Requirements:

• 8+ years in data or analytics engineering role

• Strong background with FastAPI and SQL databases

• Experience creating data-driven applications and dashboards

• Skilled in Azure-based deployments and infrastructure

• Proficiency in Python focused on data products

Advance your career at Bridgenext by delivering cutting-edge data and AI solutions.
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