Kalibri · 10 months ago
ML Engineer
Kalibri Labs is a company focused on helping hotels improve profit contribution through performance evaluation based on revenue. They are seeking a Machine Learning Engineer to enhance the scalability and efficiency of data science solutions, focusing on productionizing machine learning applications and systems at scale.
HospitalityBig DataAnalytics
Responsibilities
Partner with stakeholders throughout the organization to identify opportunities for leveraging company data to ensure quality, scalability and efficiency of Data Science solutions
Tune, operationalize, and deploy high quality AI/ML algorithms into Kalibri’s data platform
Build systems that setup, generate, and organize training data for online and offline models. Design, develop, and deploy models that integrate within Kalibri’s ecosystem
Work closely with data scientists to standardize, automate, and operate ML systems
Coordinate with development and product functional teams to implement models and monitor outcomes
Maintain and expand existing AWS/Snowflake infrastructure with industry best practices, considering scalability, reliability, quality, and cost
Develop processes and tools to continuously monitor and analyze model performance and accuracy
Build automated quality tests and monitors that ensure availability, consistency, and accuracy
Participate in code reviews and design sessions within an Agile process paradigm
Qualification
Required
3+ years experience designing, building, and maintaining ML systems leveraging Data Science packages such as TensorFlow, scikit based packages, PyTorch etc, in a cloud based environment
2+ years of experience designing and implementing scalable systems and applications on cloud-based technologies
Expert SQL and Python programming in a production context
Experience owning a project across the full lifecycle to include design, development, deployment, and operations
Strong background in modern data warehouse technologies such as Snowflake, Databricks, BigQuery
SQL expertise in a modern data warehouse following an SQL-based ELT paradigm. Demonstrated ability to prepare for model deployment and integration into data pipelines with reactive, event-based systems
Confident working in container-based environments such as Docker
Experience building ML pipeline using modern orchestration tools such as MLFlow, GitHub actions, Airflow, Prefect, etc
Bachelor's Degree in Computer Science, Information Systems, or a related technical field, or equivalent work experience
Benefits
We cover 75% of the cost of medical insurance premiums for employees & their dependents with three medical plans through Blue Cross, Blue Shield.
We cover 75% of the cost of dental and vision insurance premiums for employees & their dependents.
We provide a 50% 401k match of the first 6% of the employee's contribution (for a max of 3%).
We also provide $50,000 of life insurance, Long-term disability and an Employee Assistance Program.
All new hires receive a $250 allowance to help them set up their home office.
Company
Kalibri
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.
H1B Sponsorship
Kalibri has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (1)
Funding
Current Stage
Growth StageTotal Funding
$10M2017-05-24Series Unknown· $10M
2013-01-01Seed
Recent News
2025-07-29
2025-04-22
Company data provided by crunchbase