Director of Machine Learning

Base pay range

$185,000.00 / yr - $202,000.00 / yr

About Kalibri

At Kalibri, we are helping to redefine and rebuild the hotel industry. We are looking for passionate, energetic, and hardworking people with an entrepreneurial spirit, who dream big and challenge the status quo. We are working on cutting-edge solutions for the industry : we harness cloud-native data pipelines with advanced AI / ML models to drive asset performance. Kalibri is growing, so if you’re ready to make a difference and utilize your talents across a groundbreaking organization, please keep reading!

About The Role

Our SaaS platform is powered by machine learning, from forecasting and anomaly detection to natural language interfaces and personalized recommendations. We’re looking for a proven ML engineering leader to define and scale our ML platform, build a high-performing team, and ensure the successful deployment of models into production. You’ll partner closely with Data Science, Data Engineering, and Product teams to turn research into robust, scalable, and monitored systems. This is a hands-on leadership role for someone who thrives at the intersection of strategy, architecture, and execution.

Responsibilities

• Define and own the long-term strategy for Kalibri’s ML platform, enabling rapid prototyping, efficient training, and reliable production deployment of models.
• Partner with Data Science to design and implement end-to-end ML workflows, including data ingestion, feature engineering, model training, evaluation, and serving.
• Lead the development and operation of scalable, cloud-native ML infrastructure using Prefect, Snowflake, DBT, and modern MLOps tooling.
• Implement best practices for CI / CD, model versioning, experiment tracking, automated testing, and monitoring of ML systems.
• Build, mentor, and grow a high-performing ML engineering team; foster a culture of collaboration, learning, and operational excellence. Ensure production models meet SLAs for accuracy, latency, and availability. Implement and deploy continuous evaluation for drift and degradation.
• Drive cross-functional initiatives with Product, Data Engineering, and Infrastructure to deliver high-impact ML-powered features to customers.
• Evaluate, select, and integrate modern AI / ML tools, frameworks, and services (e.g., PyTorch, TensorFlow, vector databases, LLM frameworks) to accelerate the roadmap.
• Champion security, compliance, and responsible AI practices in all ML development and deployment processes.

Requirements

Preferred Qualifications

Benefits

Compensation

Compensation Range : $185K - $202K

Seniority level

Employment type

Job function

Industries

#J-18808-Ljbffr