Senior Machine Learning Engineer
Gathern
Employer Active
Posted 1 hrs ago
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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
- Hotels
- Hospitality
Department / Functional Area
- IT Software
Keywords
- Senior Machine Learning Engineer
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