Valsoft

Acquires, grows vertical market software companies

Senior Machine Learning Engineer

Applied Machine LearningConfirmed live in the last 24 hours

Full-timeBeirut, LebanonNo salary listedHybrid

About the Job

Requirements

Three to five years of building and shipping production software, including meaningful artificial intelligence and machine learning work.
Strong Python skills and comfort with TypeScript or JavaScript for the application layer.
Hands-on experience with large language model APIs, including prompt design, structured output, tool use, retrieval, and evaluation.
Solid SQL and data-modeling skills, including schema reasoning and writing efficient queries.
Experience with at least one of time-series forecasting, pricing or optimization models, or recommendation systems.
Comfort working with messy, incomplete real-world data, including third-party feeds, inconsistent APIs, and partial history.
Cloud deployment experience and familiarity with modern continuous integration and continuous deployment.

Responsibilities

Build artificial intelligence features end to end, including the model or pipeline, the service that runs it, and the product interface where revenue managers see and act on results.
Develop forecasting and rate-recommendation logic for the auto-publish engine, including guardrails that keep recommendations within property tolerances.
Build large language model-driven features, including natural-language explanations of rate changes, conversational querying of property performance, and automated market commentary.
Build rate-intelligence pipelines to ingest competitor rates, clean third-party data, and turn it into reliable model signals.
Create evaluation harnesses and monitoring to detect model degradation.
Build the full-stack components supporting these features, including APIs, data models, and user interfaces.
Take technical ownership of problems, determine what to build, surface trade-offs, and remain accountable for production outcomes.
Choose and complete work independently when direction is ambiguous.
Provide actionable asynchronous written updates, surface blockers early, and write clear pull-request descriptions and issue comments.
Maintain reliable overlap with the team and communicate predictable availability.

Desired Qualifications

Experience in hospitality, travel, pricing, or marketplace domains.
Experience integrating with property management systems, channel managers, or booking-engine APIs.
Background at a small startup where the candidate owned a system rather than working from a ticket queue.

Senior Machine Learning Engineer - AMP

Valsoft Corporation · Beirut, Lebanon (Hybrid) · Full-time · Posted 2026-10-22

Workplace: hybrid

Department: Research & Development

Description

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.

Apply

Apply at Valsoft Corporation

About the Company

Valsoft

Acquires, grows vertical market software companies

Valsoft is a company that buys software businesses that serve specific, essential industries (like automotive and broadcasting) and helps them grow over the long term. It focuses on vertical market software—programs that are built for a particular industry—and keeps the acquired companies independent while giving them extra resources, best practices, and access to a global network. The core idea is to improve how these software businesses operate and expand their reach, rather than building new products from scratch. The main way Valsoft works is to purchase a niche software company, streamline its operations, and partner with the existing management team to drive steady growth. This approach sets Valsoft apart from others by emphasizing patient, long-term ownership and collaboration within a diverse portfolio of niche software. The goal is to create durable, profitable companies that continue to serve their essential customers efficiently and expand into new markets.

Company size: 501-1,000
Company stage: Growth Equity (Venture Capital)
Total funding: $420M
Headquarters: Montreal, Canada
Founded: 2015

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