Model Ops Manager

4 days ago


Pateros, Philippines Globe Telecom Full time

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. The MLOps Manager role is all about leading and managing the deployment, maintenance, and optimization of machine learning models in production environments. They are also responsible for providing guidance and mentorship to the MLOps team members in order to aid in their capability development. The MLOps Manager will also be at the forefront of collaborating with the relevant stakeholders. DUTIES AND RESPONSIBILITIES Provide mentorship, guidance and support to team members Develop and execute MLOps strategy aligned with Globe’s objectives Oversee the deployment of Machine Learning models into production and ensure reliability, scalability and performance Optimize models to be cost-effective Evaluate and select appropriate infrastructure, tools and technologies to support end-to-end machine learning lifecycle Develop or oversee the development of pipelines for model inference and retraining Collaborate with data scientists, data engineers, insiders and other stakeholders to identify improvements in the models Guide the implementation of alerting systems or dashboards for tracking the health, performance and reliability of models in production and ensure compliance with regulations, privacy policies and standards Drive continuous improvement initiatives for the enhancement of deployed models and MLOps practices Metrics: Model Ops efficiency, Model Performance, Business realization, Cost optimization for model scoring, Turnaround time in problem resolution QUALIFICATIONS Work Experience: Experience in machine learning, data science, or software engineering roles. Experience in MLOps, DevOps, or similar roles, with a focus on model deployment and operationalization. Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes). Proven track record of managing projects and leading teams. Level of Knowledge: Proficiency in programming languages such as Python, R, or Java. Strong understanding of CI/CD pipelines, version control (e.g., Git), and infrastructure as code (IaC). Deep knowledge of data privacy regulations and best practices in model governance and security. Education: Bachelor's or Master’s degree in Computer Science, Engineering, Data Science, or a related field. SKILLS Soft: Project Management, Strategic Thinking & Planning, Problem‑Solving & Analytical Thinking, Excellent Communication & Interpersonal Skills, Stakeholder Management & Collaboration. Hard: Machine Learning & Data Science Principles, DevOps & Software Engineering, Cloud Platforms, Infrastructure & Automation Tools, Monitoring Tools & MLOps Frameworks. 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. #J-18808-Ljbffr



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