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Job Summary:
Kalibri is a company focused on redefining the hotel industry through innovative solutions. They are seeking a Director of Machine Learning to lead the development and scaling of their ML platform, ensuring successful deployment of models and fostering a high-performing team.
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.
Qualifications:
Required:
• 10+ years in software engineering, data engineering, or ML engineering roles, including 3+ years in a technical leadership role at the Director+ level.
• Proven track record building and scaling ML platforms and taking models from research to production.
• Deep experience with MLOps best practices: model lifecycle management, orchestration (Prefect strongly preferred, Airflow or similar acceptable), automated retraining, and monitoring in production.
• Strong proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow) and in orchestrating workloads on Kubernetes.
• Expertise with cloud-native environments (AWS preferred), including services like S3, Lambda, Step Functions, and IAM.
• Familiarity with data warehouses and ELT pipelines (Snowflake, dbt) to support ML feature pipelines.
• Strong leadership skills with experience hiring, mentoring, and retaining technical talent.
• Excellent cross-functional collaboration skills with proven ability to align data scientists, engineers, and product managers around shared outcomes.
• Demonstrated ability to deliver complex technical projects in SaaS environments.
• Experience in a startup environment.
Preferred:
• Experience deploying and optimizing LLMs or other advanced generative AI models in production.
• Knowledge of vector databases, semantic search, and retrieval-augmented generation (RAG) pipelines.
• Familiarity with data streaming technologies (e.g., Kafka) for real-time feature serving.
• Experience with ML observability tools (e.g., LangChain, WhyLabs, Arize, Monte Carlo) and feature stores.
• Background in hospitality, travel, or other data-rich verticals.
• Experience with SOC 2, GDPR, or other compliance-driven environments.
Company:
Powered by unmatched transaction-level data and predictive AI, Kalibri pinpoints profit opportunities, streamlines commercial decisions, and helps find cash flow opportunities and grow asset value. Founded in 2012, headquartered in Rockville, Maryland, USA, team size 51-200 employees, currently Growth Stage. Kalibri has a track record of offering H1B sponsorships.
Seniority level
Seniority level
Director
Employment type
Employment type
Full-time
Job function
Industries
Software Development
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Medical insurance
Vision insurance
401(k)
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