100 applicants

Company

Kalibri Labs · 19 hours ago

MLOps Engineer

United States

Full-time

Remote

Mid Level

3+ years exp

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Responsibilities

Work within cross-functional teams to ensure quality, availability and cost efficiency of Data Science solutions

Integrate all aspects of a secure SDLC through highly available processes that support a painless continuous deployment pipeline

Build observability throughout the product and pipeline. Detect and alert on issues before they impact customers

Build CI/CD processes that supports the machine learning lifecycle to include self-serve experimentation, performance analysis, feature store integration, model development, hyperparameter tuning, evaluation, and deployment following DevOps best practices.

Collaborate with project stakeholders to identify product and technical requirements. Conduct analysis to determine integration needs

Maintain and expand existing AWS/Snowflake infrastructure with industry best practices, considering scalability, reliability, and cost

Automate everything. Identify activities that can be automated, define and document the process, and then automate it.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

MLOpsContinuous DeploymentAWSTerraformAnsibleDockerLinux AdministrationPythonTensorFlowScikit-learnPyTorchObservability SystemsNew RelicGrafanaPrometheusDatadogBitbucket PipelinesGitHub ActionsAirflowPrefect

Required

Bachelor’s Degree in Computer Science, Information Systems, or a related technical field, or equivalent work experience.

3+ years experience creating and managing deployment pipelines using critical 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 Amazon Web Services (AWS), with a focus on cloud architecture, cost optimization, and security.

Experience automating infrastructure deployment and operations for scalable systems using tools like Terraform and Ansible.

Confident working in container-based environments and docker.

Linux administration and automation with shell, bash, and/or python.

Experience instrumenting and operating observability systems such as new relic, grafana and prometheus, or datadog.

Continuous integration and deployment with orchestration tools such, bitbucket pipelines, github actions, airflow, prefect, etc…

Company

Kalibri Labs

Kalibri Labs Helping hotels improve profit contribution by evaluating performance based on revenue NET of customer acquisition costs.

Founded in 2012

Rockville, Maryland, USA

51-200 employees

http://www.kalibrilabs.com/

H1B Sponsorship

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2021 (1)