getSummary
Written in English from the original postingThe role is for a Lead Data Engineer / Data & AI Platform Architect working on AI-ready document processing in a regulated enterprise environment. It involves aligning platform teams and using Python, Databricks, Spark, Azure, and LLM orchestration with testing and monitoring. Nice-to-have skills include Azure Document Intelligence and Databricks Workflows and Asset Bundles.
Job description
About Us
Ascent has recently been acquired by Acuity Analytics. This is both a significant milestone for us and a tremendous opportunity for you. Acuity Analytics is a business with a strong global reputation, an impressive client base and ambitious growth plans. We deliver deep insights and domain-led digital transformation to high-growth and heavily regulated organizations. To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency.
About the role
We are looking for an experienced Data Engineer to join a team that handles document processing in a large enterprise, regulated environment. You will align several platform teams to ensure timely delivery and dependency management.
Required skills
Solid data architecture skills
Solid Cloud/DevOps skills (Azure dominant environment)
Expert level skills in Python, Databricks and Spark
Experience in AI-ready document processing experience
Experience with LLM orchestration, operations and building of test and monitoring of LLM outputs, ideally with Azure OpenAI interface
Nice to have skills
Azure Document Intelligence
Databricks Workflows & Asset Bundles
Why join us
People are at the Heart of our Business. By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive. Check out this page for more details.
If you have any questions contact our Talent Acquisition team on ta.admin@acuityanalytics.
For more details about Acuity Analytics please see here: Read here.
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