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Aspire Software
Aspire Software
1.001 – 5.000 Angajați
ConstrucțiiLogisticăOspitalitate
Aspire Software achiziționează și sprijină companii de software care deservesc sectoare precum ospitalitatea, logistica și construcțiile. Ca parte a grupului Valsef, compania combină capitalul, expertiza operațională și bunele practici comune cu o abordare descentralizată, care le permite companiilor și echipelor individuale să își păstreze punctele forte, îmbunătățindu-și și extinzându-și în același timp operațiunile. Se concentrează pe construirea unor parteneriate tehnologice durabile, pe consolidarea companiilor pe care le deține și pe crearea unor oportunități pe termen lung pentru oamenii și clienții conectați la acestea.
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ML/AI Engineer - Hybrid in Lebanon

Build and deploy forecasting, recommendation, and LLM features for Aspire Software’s Qmatic products. Develop production models, data pipelines, and agentic self-service workflows.

LBLibanHibridNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăInginer AIInginer de învățare automată
AWSAzureCloudETLGoJavaJavaScriptNode.jsPythonReactScikit-LearnSpringSpring BootSQLVue.js

Descriere

  • Develop, train, assess, and deploy machine learning models for forecasting, classification, and recommendation functionality
  • Benchmark proposed models, conduct experiments, record technical decisions, establish evaluation standards, and monitor deployed models
  • Embed AI and LLM functionality into chat, automation, personalization, and agent-based product experiences
  • Develop, maintain, and troubleshoot ingestion, transformation, feature, and data-quality pipelines across bronze, silver, gold, and platinum medallion layers
  • Engage with clients and stakeholders through demonstrations, launches, requirements sessions, and troubleshooting discussions
  • Convert customer and partner feedback into product and engineering priorities in collaboration with Product Management
  • Produce clean, maintainable, thoroughly tested software
  • Contribute to architecture, reusable patterns, and technical direction for emerging products
  • Investigate and resolve production problems involving models, data, and customer-facing incidents

Cerințe

  • At least three years of professional experience developing and delivering machine learning or AI systems in production
  • Practical machine learning experience across the complete lifecycle, including training, fine-tuning, and evaluating classification, regression, or forecasting models
  • Ability to assess data quality, features, and model performance; benchmark alternatives and justify model selections
  • Strong Python skills and experience with open-source machine learning tools such as scikit-learn, XGBoost or LightGBM, and statsmodels
  • Strong SQL knowledge and API design experience
  • Hands-on production experience delivering AI or LLM functionality, including features such as RAG pipelines or vector databases
  • Experience working with AI-assisted coding tools such as Claude, Cursor, or GitHub Copilot
  • Experience with Azure, AWS, or Google Cloud
  • Experience creating cloud-based data pipelines and ETL processes within a medallion architecture
  • Experience deploying models and monitoring their production performance
  • Excellent communication skills, with confidence in customer demonstrations, calls, and workshops
  • Flexible, product-focused, collaborative, curious, and accountable working style
  • Fluent written and spoken English
  • Reliable and delivery-focused, with the ability to provide realistic estimates and surface risks early
  • Active GitHub profile or portfolio demonstrating personal or side projects
  • Preferred: experience with Java, Spring, or Spring Boot
  • Preferred: exposure to generative avatar or video-rendering technologies
  • Preferred: familiarity with speech-to-text or transcription workflows, including multilingual voice input
  • Preferred: familiarity with agent orchestration frameworks or multi-step tool-use patterns
  • Preferred: experience with Go
  • Preferred: MLOps experience covering experiment tracking, model versioning, and drift monitoring
  • Preferred: working knowledge of Vue or React with Node.js

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