At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.
Job Description
The Machine Learning Operations Manager role is all about leading and managing the deployment, management, maintenance and optimization of machine learning models in production environments.
DUTIES AND RESPONSIBILITIES:
- Team Leadership - provide mentorship, guidance and support to team members
- Strategic Planning - develop and execute MLOps strategy aligned with Globe’s objectives
- Model Deployment and Management - oversee the deployment of Machine Learning models into production and ensures reliability, scalability and performance. Optimize the models to make it cost effective
- Infrastructure knowledge - evaluate and select appropriate infrastructure, tools and technologies to support end-to-end machine learning lifecycle
- Automation and Orchestration - develop or oversee the development of pipelines for model inference and retraining
- Collaboration - collaborate with data scientists, data engineers, insighters and other stakeholders to identify improvements in the models.
- Model Governance - implementation of alerting system or dashboards for tracking the health, performance and reliability of models in production and ensures compliance with regulations, privacy policies and standards
- Continuous Improvement - drive continuous improvement initiatives for the enhancement of deployed models and MLOps practices
QUALIFICATIONS:
- At least 2 years experience in Machine Learning, DevOps or Infrastructure and Software Development
- Experience in leading a team
- Educational Attainment: BS Computer Science Computer Engineering, Data Science, IT; Masters degree in similar field preferred
Equal Opportunity Employer
Globe’s hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe’s Diversity, Equity and Inclusion Policy Commitment can be accessed
Globe’s hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe’s Diversity, Equity and Inclusion Policy Commitment can be accessed
here
Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.
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