Machine Learning Engineer
AgentixLake GmbH United Arab Emirates
We start with one use case, fixed in scope, and take it live in 6–8 weeks through our Production Sprint. From there we extend it into a production data and AI platform and keep that platform running.
What we do: • Production Sprint: one AI use case in production in 6–8 weeks • Data & AI Platform Build: lakehouse and warehouse modernisation, ETL/ELT and migration from legacy systems • Production AI Systems: RAG, document intelligence and AI agents on governed enterprise data • On-prem RAG & AI Agents: open-source LLMs on servers in your own environment • Managed Data & AI Platform: ongoing operation with engineer-reviewed changes • Intelligent DataOps: a self-healing pipeline agent that diagnoses failures and proposes each fix as a pull request for an engineer to approve
Selected results: • Pipeline issue resolution cut from 6–8 hours to 30 minutes • New-customer onboarding on a multi-tenant analytics platform cut from four weeks to five minutes • 70% less manual documentation work with document intelligence on an on-prem GPU server
Everything we build runs in your cloud account or data centre, on your stack, with no proprietary lock-in. Your team can own and operate it.
AgentixLake is an AWS Partner and an Anthropic Certified Solutions Partner, serving clients in the DACH and Gulf regions.
AgentixLake GmbH United Arab Emirates
AgentixLake GmbH United Arab Emirates