Staff Data Scientist: GenAI, MLOps & Production ML

Foodics; Saudi Arabia; On-site; SAR 200,000 - 300,000; Full time

Job summary

A leading SaaS company in Saudi Arabia is seeking a Machine Learning Engineer to lead the design and deployment of innovative ML models. The ideal candidate will have over 5 years of experience in applied ML, proficiency in Python and various ML libraries, and a strong understanding of model development and MLOps. This role offers a competitive compensation package and opportunities for personal development in a fast-paced environment.

Benefits

Highly competitive compensation packages

Regular training and learning stipend

Inclusive and diverse culture

Mentoring and autonomy

Qualifications

• 5+ years’ experience in applied ML, AI, or data science.
• Strong proficiency in Python and ML/AI libraries.
• Experience with MLOps tools and managing versioning.
• Deep understanding of model development workflows.
• Strong understanding of statistical modeling.
• Proven record of deploying ML models in production.
• Knowledge of ML best practices and monitoring.

Responsibilities

• Lead the design, development, and deployment of ML models.
• Own the ML model lifecycle from data exploration to monitoring.
• Implement MLOps best practices for model management.
• Collaborate with teams to ensure model integration.
• Mentor junior ML engineers and contribute to the ML knowledge base.

Skills

Applied ML experience

Python proficiency

ML/AI libraries experience

MLOps tools familiarity

Statistical modeling understanding

Model deployment experience

Cloud-native environment experience

GenAI / LLM integration experience

Tools

scikit-learn

PyTorch

TensorFlow

XGBoost

HuggingFace Transformers

MLflow

SageMaker

Terraform

CDK

LangChain

LangGraph

LlamaIndex

Job description

A leading SaaS company in Saudi Arabia is seeking a Machine Learning Engineer to lead the design and deployment of innovative ML models. The ideal candidate will have over 5 years of experience in applied ML, proficiency in Python and various ML libraries, and a strong understanding of model development and MLOps. This role offers a competitive compensation package and opportunities for personal development in a fast-paced environment.