Data Scientist - Philippines, Pilipinas - PLDT

Paglalarawan

Education

Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.

Qualifications

• Proven experience in machine learning model deployment and operations in cloud environments (e.g., AWS, Azure, GCP).
• Strong programming skills in languages like Python and familiarity with machine learning libraries and frameworks.
• Experience with containerization technologies such as Docker and orchestration frameworks like Kubernetes.
• Proficiency in cloud-native tools for machine learning, such as Amazon SageMaker, Google AI Platform, or Azure Machine Learning.
• Familiarity with DevOps principles and tools for automation and continuous integration/continuous deployment (CI/CD).
• Strong problem-solving and communication skills, with the ability to work effectively in cross-functional teams.
• Self-driven, detail-oriented, and committed to delivering high-quality machine learning solutions.

Duties and Responsibilities

• Collaborate with data science and engineering teams to develop, optimize, and deploy machine learning models in on-premises and cloud environments.
• Ensure the scalability, reliability, and performance of machine learning models.
• Work with data engineers to prepare, clean, and transform data to be used for training and inference.
• Monitor and maintain deployed models, implement updates, and troubleshoot any issues that may arise.
• Develop tools and processes for model versioning, model evaluation, and automated model deployment.
• Assist in designing and maintaining machine learning pipelines, ensuring efficient data flow and model deployment.
• Collaborate on building and maintaining a catalog of machine learning models for use across the organization.
• Stay current with industry trends and best practices in machine learning operations, cloud computing, and data science.