Machine Learning Operations Manager

Requirements

• Minimum of 5 years of experience in machine learning, data science, or software engineering roles.
• At least 2-3 years of experience in MLOps, DevOps, or similar roles, with a focus on model deployment and operationalization
• Proven track record of managing projects and leading teams.
• Knowledge of data privacy regulations and best practices in model governance and security.
• Willingness to continuously learn and adapt to new technologies and methodologies in the MLOps domain.
• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
• Soft Skills:
• Excellent communication and interpersonal skills, with the ability to collaborate with cross-functional teams and translate technical concepts into business terms.
• Strong problem-solving abilities and analytical thinking
• Hard Skills:
• Proficiency in programming languages such as Python, R, or Java.
• Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes).
• Strong understanding of CI/CD pipelines, version control (e.g., Git), and infrastructure as code (IaC).
• 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 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.

Benefits

Additional Information

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 MLOps 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 - guides the 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

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