6 дней назад
Senior Machine Learning Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer (AI): Designing, deploying, and operating production ML, AI, and GenAI models for pricing, personalization, and fraud detection with an accent on scalable model development, MLOps, and statistical evaluation. Focus on building end-to-end model lifecycles, integrating LLM capabilities, ensuring model fairness and observability, and mentoring junior engineers.
Location: Riyadh, Riyadh Province, Saudi Arabia. Workplace: On-site
Company
is a restaurant management ecosystem and payment technology provider delivering SaaS products across the MENA region and serving customers in more than 35 countries.
What you will do
- Own the full machine learning model lifecycle, from problem framing and data exploration through training, deployment, monitoring, and continuous improvement.
- Design and develop scalable solutions using classical machine learning, AI, and GenAI techniques for products such as pricing, personalization, and fraud detection.
- Implement MLOps practices covering versioning, reproducibility, testing, observability, CI/CD, and model monitoring.
- Collaborate with Data Engineering, Product Management, platform teams, and product squads to deliver reusable production-grade models.
- Integrate models with APIs and backend services while following a “you build it, you run it” ownership model.
- Mentor junior ML engineers and contribute to the internal machine learning knowledge base.
Requirements
- 5+ years of experience in applied machine learning, AI, or data science.
- Strong Python skills and experience with machine learning libraries such as scikit-learn, PyTorch, TensorFlow, XGBoost, and HuggingFace Transformers.
- Production experience deploying machine learning models at scale and using MLOps tools such as MLflow or SageMaker.
- Strong knowledge of feature engineering, hyperparameter tuning, model evaluation, A/B testing, statistical modeling, statistical inference, and statistical tests.
- Experience with bias mitigation, explainability, model drift and fairness monitoring, data pipelines, experimentation, CI/CD, GitOps, and infrastructure as code.
- Hands-on experience with GenAI and LLM integration, including RAG, fine-tuning, embeddings, prompt engineering, LangChain, LangGraph, or LlamaIndex.
Culture & Benefits
- Inclusive and diverse culture focused on innovation.
- Competitive compensation with bonuses and potential share participation.
- Regular training and an annual learning stipend for professional development.
- Autonomy, mentoring, and challenging goals in a hyper-growth environment.
- Opportunity to work with a team representing more than 30 nationalities across 14 countries.
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