ML/AI Engineer

Aspire Software

. Design, train, evaluate, and ship machine learning models for forecasting, classification, and recommendation features .

Posted 10/9/2026full-timeBeirut • LebanonMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying machine learning models, with a strong focus on data quality, model performance, and integration of AI capabilities. Proficient in Python, SQL, and cloud platforms, with a collaborative approach to product development and customer engagement.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython ProgrammingCloud Data Pipeline EngineeringAI/LLM IntegrationData Quality Assessment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningModel EvaluationData Pipeline DevelopmentSQLAPI DesignMLOpsExperiment TrackingModel VersioningRegression AnalysisClassification

Soft Skills

Excellent CommunicationCollaborativeCuriousAccountableDeadline-Driven

Tools & Technologies

Scikit-LearnXGBoostLightGBMStatsmodelsAzureAWSGoogle CloudClaudeCursorGitHub Copilot

Industry Keywords

AI SystemsLLM CapabilitiesMedallion ArchitectureData Quality ChecksProduction Monitoring

Tech Stack

Tools & technologies

AWSAzureCloudETLJavaJavaScriptNode.jsPythonReactScikit-LearnSpringSpring BootSpringBootSQLVue.jsGo

About the role

Key responsibilities & impact

Design, train, evaluate, and ship machine learning models for forecasting, classification, and recommendation features
Compare candidate models against baselines, run experiments, document decisions, define evaluation criteria, and monitor models in production
Integrate AI and LLM capabilities into chat, automation, personalization, and agentic product workflows
Build, maintain, and debug data and feature pipelines, including ingestion, transformation, and data quality checks across a bronze/silver/gold/platinum medallion architecture
Participate in client and stakeholder conversations, including demos, product launches, requirements discussions, and troubleshooting calls
Translate customer and partner feedback into product and engineering decisions with Product Management
Write clean, maintainable, well-tested code
Help define architecture, patterns, and technical direction for new products
Support and troubleshoot production issues involving models, data, and client-facing incidents

Requirements

What you’ll need

3+ years of professional experience building and shipping machine learning or AI systems in production
Strong applied ML experience across the full lifecycle, including training, fine-tuning, and evaluating classification, regression, or forecasting models
Ability to reason about data quality, features, and model performance; compare alternatives against baselines and explain model choices
Strong Python and open-source ML ecosystem experience, including scikit-learn, XGBoost/LightGBM, and statsmodels
Solid SQL and API design skills
Hands-on production experience with AI/LLM capabilities, including shipped AI-driven features such as RAG pipelines or vector databases
Comfortable using AI coding tools such as Claude, Cursor, or GitHub Copilot
Experience with Azure, AWS, or Google Cloud
Experience building cloud data pipelines and ETL across a medallion architecture
Experience deploying and monitoring models in production
Excellent communication skills and comfort with customer-facing demos, calls, and workshops
Flexible, product-minded, collaborative, curious, and accountable approach
Fluent in written and spoken English
Reliable and deadline-driven; able to set realistic estimates and raise risks early
Active GitHub profile or portfolio of personal/side projects
Nice to have: exposure to Java, Spring, or Spring Boot
Nice to have: exposure to generative avatar or video rendering
Nice to have: familiarity with speech-to-text or transcription pipelines, including multilingual voice input
Nice to have: familiarity with agent orchestration frameworks or multi-step tool-use patterns
Nice to have: experience with Go
Nice to have: MLOps experience, including experiment tracking, model versioning, and drift monitoring
Nice to have: working knowledge of Vue or React and Node.js