Mansa Strategies

Careers/04 of 07/3 positions

Data Engineering and Machine-Learning Infrastructure

FramingWhat this is

Ingesting, cleaning, storing and serving market and alternative data at scale: packet captures, research pipelines, histories measured in years. Alongside that: training pipelines, accelerators and the deployment paths research depends on.

The quality of this layer caps every result produced above it. Survivorship bias does not announce itself. It produces a clean backtest and a quiet loss — and no amount of care further up the stack repairs a record that was never written.

PositionsData Engineering and Machine-Learning Infrastructure

Data Engineer, Market Data

Own the record. If it was not written down at the time, no amount of care later recovers it.

Dubai (on-site) · Open

Research Platform Engineer

Build the tooling that makes a careless mistake hard and an honest experiment cheap.

Dubai (on-site) · Open

ML / AI Infrastructure Engineer

Own training and inference: reproducible fits, a compiled production path, and models that fail loudly.

Dubai (on-site) · Open
ProcessFour steps
  1. IntroductionA short message and something you built. No cover letter, no recruiter, no form.
  2. Technical conversationNinety minutes on work you actually did, deep enough that neither of us can bluff.
  3. Paid assignmentA real problem from our backlog, scoped to one day. We pay for it either way.
  4. ReviewYou defend the work to the people who would maintain it. This is the decision.