Senior Data Scientist / Senior ML Engineer

Foodics
Riyadh
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Mentoring","Cross-functional collaboration","Communication","Bias mitigation"]

Lead end-to-end ML/AI/GenAI model development for core products such as pricing, personalization, and fraud detection. Own the full lifecycle from problem framing and data exploration through training, deployment, and monitoring, using classical ML and GenAI approaches. Collaborate with data engineering, product, and platform teams to build production-grade, reusable solutions with strong MLOps practices, CI/CD, and reliable model integration via APIs.

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FursaFursa
Foodics
Foodics
1 day ago

Senior Data Scientist / Senior ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live
Reposted: similar role first listed 11 months ago

Job Summary

Lead end-to-end ML/AI/GenAI model development for core products such as pricing, personalization, and fraud detection. Own the full lifecycle from problem framing and data exploration through training, deployment, and monitoring, using classical ML and GenAI approaches. Collaborate with data engineering, product, and platform teams to build production-grade, reusable solutions with strong MLOps practices, CI/CD, and reliable model integration via APIs.
Location: Riyadh
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own the end-to-end ML model lifecycle: problem framing, data exploration, training, deployment, and monitoring.
  • •Design and develop scalable classical ML and GenAI solutions for core product use cases.
  • •Implement MLOps best practices including versioning, reproducibility, monitoring, and CI/CD for models.
  • •Collaborate with squads and platform teams to ensure model reusability and adherence to standards.
  • •Integrate models with APIs and backend services as needed, and mentor junior ML engineers while maintaining internal knowledge.

Pay and Benefits

Perks:Annual BonusEquityLearning Budget

Key Requirements

  • •5+ years of applied experience in ML, AI, or data science.
  • •Strong Python proficiency and ML/AI libraries such as scikit-learn, PyTorch, TensorFlow, XGBoost, and HuggingFace Transformers.
  • •Experience with MLOps tools (e.g., MLflow, SageMaker) including model versioning, testing, and observability.
  • •Deep understanding of model development workflows (feature engineering, hyperparameter tuning, evaluation, and A/B testing).
  • •Hands-on production experience deploying ML models at scale, including bias mitigation, explainability (SHAP/LIME), and monitoring for drift and fairness.
Experience:5+ yearsSaaSGenAIMLOps
Skills:MentoringCross-functional collaborationCommunicationBias mitigation
Tech Stack:PythonScikit-learnPyTorchTensorFlowXGBoostHuggingFace TransformersMLflowSageMakerAWSCI/CDGitOpsTerraformCDKSHAPLIMELangChainLangGraphLlamaIndexRAGLLM

Company Brief

Foodics
Provides a cloud-based POS and restaurant management platform for F&B businesses, offering order management, inventory, analytics, payments, and integrations to help restaurants, cafes, and chains run operations and grow revenue across the Middle East and beyond.
Industry: Restaurants & Food Service
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Funding: Series D
Headquarters: Riyadh, Saudi Arabia
Founded: 2014
WebsiteLinkedIn