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Open nowPosted 11 days ago

Senior Machine Learning Engineer - AMP

Workable (global search)109,826 open roles

Where
Beirut, Lebanon
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Your applicationOpen nowSenior Machine Learning Engineer - AMPWorkable (global search) · Beirut, Lebanon

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 2 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 11 days ago

Workable (global search) median: 2 days open

The posting

Aspire Software is looking for a Senior Machine Learning Engineer to join our team in Lebanon.

Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.

About the job:

You will build AI features end to end: the model or pipeline that produces the decision, the service that runs it, and the product surface where a revenue manager sees and acts on it. This is not a research role and it is not a pure app-dev role — it is the bridge between them.

Examples of what you'd own in your first year:

  • Forecasting and rate-recommendation logic that feeds our auto-publish engine, including the guardrails that keep recommendations inside a property's tolerance LLM-driven features: natural-language explanations of why a rate moved, conversational querying of a property's performance, automated market commentary
  • Rate-intelligence pipelines — ingesting competitor rates, cleaning messy third-party data, and turning it into signals the model can trust
  • Evaluation harnesses and monitoring so we know when a model degrades before a customer does
  • The full-stack surface around all of the above: APIs, data models, and the UI that exposes them

Requirements

  • 3–5 years building and shipping production software, with meaningful AI/ML work in that time
  • Strong Python; comfortable in TypeScript/JavaScript for the application layer
  • Hands-on experience with LLM APIs (Anthropic, OpenAI or similar) — prompt design, structured
  • output, tool use, retrieval, and the evaluation discipline to know whether any of it is working
  • Solid SQL and data modeling; you can reason about a schema and write queries that don't melt the database
  • Experience with at least one of: time-series forecasting, pricing/optimization models, or recommendation systems
  • Comfort with messy, incomplete, real-world data — third-party feeds, inconsistent APIs, partial history
  • Cloud deployment experience and familiarity with modern CI/CD

Nice To Have:

  • Hospitality, travel, pricing, or marketplace domain experience
  • Experience integrating with PMS, channel manager, or booking-engine APIs
  • Background in a small startup where you owned a system rather than a ticket queue

How we work, and who succeeds here

  • We hire for ownership as much as for stack. The engineers who do well:
  • Take technical ownership. You're handed a problem, not a spec. You decide what to build, flag the trade-offs, and are accountable for the result in production — including when it breaks at an inconvenient hour.
  • Are intrinsically driven. Nobody will watch your calendar. You choose the right next thing to work on when the direction is ambiguous, and you finish things.
  • Communicate well asynchronously. Written updates that a busy reader can act on. You surface blockers early rather than going quiet. Clear, complete PR descriptions and issue comments.
  • Manage your own time zone. You're responsible for maintaining reliable overlap with the team and for being predictable about when you're reachable.
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