Machine Learning engineerMynt
Workplace: MetroManila, Manila, Taguig
Salary: Agreement
Work form: Full time
Posting Date: 08/11/2025
Deadline: 15/11/2020
Job Description
Optimize workflows when developing and deploying machine learning models.
Explore and optimize our existing technology stack, finding ways to reduce query times, speed up model development, maximize utilization of resources, and maximize cluster uptime - this may come through experimenting with different open source technology stacks in sandbox / dev environments, evaluating potential tools from external vendors, and empowering the other advance analytics team members are implementing best practices in MLOps.
Ensure that the machine learning models deployed in production are functioning as expected.
Explore other ways to improve Mynt Advance Analytics workflows by building internal tools, machine learning libraries and microservices (such as our internal REST APIs, Job scheduling API, etc.)
Monitor and maintain uptime of the DS team's technology stack, which includes Kubernetes, Apache Spark, Apache Zeppelin, Jupyterhub, RStudio, R Shiny and internal REST APIs.
Responsibilities
Bachelor's degree graduate
At least 2 years experience deploying and maintaining machine learning models in production
Must possess strong knowledge and skills in Spark, Hadoop, Kubernetes, Docker and other related tools
Proficient in data science toolsets such as JupyterHub, RStudio and others.
Strong knowledge and deep understanding of Data Science and Analytics
Strong knowledge and deep understanding of MLOps or DevOps practices.
Mynt
Optimize workflows when developing and deploying machine learning models.
Explore and optimize our existing technology stack, finding ways to reduce query times, speed up model development, maximize utilization of resources, and maximize cluster uptime - this may come through experimenting with different open source technology stacks in sandbox / dev environments, evaluating potential tools from external vendors, and empowering the other advance analytics team members are implementing best practices in MLOps.
Ensure that the machine learning models deployed in production are functioning as expected.
Explore other ways to improve Mynt Advance Analytics workflows by building internal tools, machine learning libraries and microservices (such as our internal REST APIs, Job scheduling API, etc.)
Monitor and maintain uptime of the DS team's technology stack, which includes Kubernetes, Apache Spark, Apache Zeppelin, Jupyterhub, RStudio, R Shiny and internal REST APIs.
Responsibilities
Bachelor's degree graduate
At least 2 years experience deploying and maintaining machine learning models in production
Must possess strong knowledge and skills in Spark, Hadoop, Kubernetes, Docker and other related tools
Proficient in data science toolsets such as JupyterHub, RStudio and others.
Strong knowledge and deep understanding of Data Science and Analytics
Strong knowledge and deep understanding of MLOps or DevOps practices.
Mynt
Other Info
Taguig City, Metro Manila
Permanent
Full-time
Permanent
Full-time
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Mynt
About the company
Position Machine Learning engineer recruited by the company Mynt at MetroManila, Manila, Taguig, Joboko automatically collects the salary of , finds more jobs on Machine Learning Engineer or Mynt company in the links above
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