Machine Learning Engineer

• Design build deploy and maintain production-grade machine learning solutions supporting demand forecasting dynamic pricing inventory optimization and recommendation use cases.
• Partner with data scientists to convert experimental notebooks and prototypes into modular tested repeatable training and inference pipelines.
• Build and maintain feature engineering model-training batch-scoring and real-time inference workflows using Python Spark SQL Databricks and MLflow.
• Implement MLOps practices for experiment tracking model registration and versioning automated testing CI/CD controlled promotion rollback and reproducibility.
• Define and monitor model and operational health measures including model quality drift signals latency failures data quality resource utilization and compute cost.
• Validate model changes against reproducible datasets and established baselines and assess downstream impact.
• Integrate model outputs with business applications and downstream platforms through reliable batch jobs APIs and secure data-access patterns.
• Optimize model architecture feature processing training and inference for scalability reliability maintainability and cost efficiency.
• Implement safeguards and fallback behavior so invalid data or failed optimization does not result in unsafe or misleading recommendations.
• Collaborate with stakeholders to translate revenue-management requirements into technical specifications acceptance criteria and measurable outcomes.
• Create and maintain technical documentation model cards runbooks deployment plans monitoring procedures and retraining and rollback strategies.
• Ensure solutions comply with enterprise data governance privacy security audit and responsible AI requirements.

Job Requirements:

• Bachelors degree in Computer Science Computer Engineering Data Science Statistics Applied Mathematics or a related field; or equivalent practical experience.
• 4 years of relevant experience in machine learning engineering applied data science data engineering or software engineering for production ML systems.
• Strong proficiency in Python and SQL including experience building maintainable testable production code.
• Hands-on experience developing deploying and supporting machine learning models in production environments.
• Experience with cloud platforms with a preference for Microsoft Azure.
• Experience with Apache Spark or Databricks and large-scale data processing.
• Knowledge of supervised learning forecasting optimization feature engineering model evaluation and experiment design.
• Experience with software engineering practices including Git code review automated testing CI/CD configuration management and environment promotion.
• Strong problem-solving critical-thinking communication and cross-functional collaboration skills.
• Ability to work independently manage changing priorities and deliver in a fast-paced product environment.

Preferred Qualifications:

• Experience designing batch and real-time model-serving patterns and integrating model outputs into operational applications.
• Experience with model explainability techniques statistical equivalence testing A/B testing and business-impact measurement.
• Experience with Azure services such as Synapse Analytics Event Hubs Azure Data Lake Storage or related integration services.
• Experience with distributed ML libraries and frameworks such as scikit-learn XGBoost LightGBM TensorFlow PyTorch or Spark MLlib.
• Experience implementing governed feature stores lineage access controls audit trails and model approval workflows.

What We Offer You:

• Highly competitive compensation plan.
• Salary range $155000 - 180000 annually determined by a myriad of factors including but not limited to years of experience depth of experience and other relevant business considerations.
• Employees are eligible for annual discretionary bonus.
• 401(k) plan with company match.
• Employee Share Purchase Plan (ESPP) Viking full-time regular employees working in the United States can purchase Viking shares through payroll deductions.
• Full benefits including medical dental vision life and disability insurance at a highly subsidized rate (some plans are fully paid by Viking).
• Accrue 15 paid vacation days sick time accrual by state and 6 paid holidays per year.
• Opportunity to take a free and/or discounted cruise.
• Highly subsidized gym membership.
• Discounts on theatres theme parks movie tickets travel discounts through IATA membership and too many more discounts to name.

Viking is a certified Great Place to Work company. This certification is a result of our commitment to excellence integrity and our teams outstanding contributions.

About Viking

Viking (NYSE: VIK) is a global leader in experiential travel with a fleet of more than 100 ships exploring 21 rivers fiveoceansand all seven continents. Designed for curious travelers with interests in science history culture and cuisineChairmanand CEO Torstein Hagen oftensaysViking offers experiences ForTheThinking Person. Viking has more than 450 awards to its name including being rated #1 for Rivers and #1 for Oceans five years in a row byCondé Nast Travelerinthe 2025 Readers Choice Awards. Viking is alsorateda Worlds Best byTravel Leisureno other travel company has simultaneously received such honorsbyboth publications.