Senior Machine Learning Engineer

Gathern

Employer Active

Posted 1 hrs ago

Experience

5 - 8 Years

Job Location

Riyadh - Saudi Arabia

Education

Bachelor of Science(Computers)

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

KEY ACCOUNTABILITIES:

  • Architect ML systems / end-to-end pipelines / scalable and production-ready solutions
  • Lead model development/pricing and ranking algorithms / improved conversion and revenue yield
  • Design forecasting solutions/demand and supply models / optimized inventory and occupancy planning
  • Enhance risk models/fraud detection systems / reduce cancellations and policy violations
  • Establish MLOps standards/deployment and monitoring frameworks / reliable and maintainable model operations
  • Drive experimentation / A/B testing and validation frameworks / data-driven product improvements
  • Collaborate cross-functionally / product, engineering, and data teams / aligned metrics and business impact
  • Define data strategy/feature engineering and data sourcing / improved model performance and coverage
  • Ensure model governance/data quality and integrity / trusted and compliant ML systems
  • Mentor team members / technical guidance and best practices / elevated team capability and output quality
  • Optimize model performance/tuning and retraining strategies / sustained accuracy and efficiency
  • Evaluate new approaches/algorithms and technologies / continuous innovation and competitive advantage
  • Communicate insights/model performance and impact / informed stakeholder decision-making.

Desired Candidate Profile

  • Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field
  • 5 8+ years of experience in applied machine learning, data science, or ML engineering roles
  • Proven experience designing, deploying, and scaling ML systems in production environments
  • Strong experience with large-scale data processing and distributed systems (e.g., Spark, Beam)
  • Advanced proficiency in Python and ML frameworks such as TensorFlow or PyTorch
  • Deep understanding of MLOps practices (CI/CD, model lifecycle management, feature stores, monitoring)
  • Strong expertise in SQL and data engineering tools (Airflow, Kafka, DBT, etc.)
  • Experience with experimentation frameworks and causal inference methods is a plus
  • Strong system design and architecture skills for ML-driven products
  • Excellent problem-solving skills with a strong analytical and business-oriented mindset
  • Ability to lead initiatives, influence stakeholders, and mentor junior team members

Company Industry

Department / Functional Area

Keywords

  • Senior Machine Learning Engineer

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