Software Engineer, Machine Learning Platform

1 Month ago • All levels

Job Summary

Job Description

Appier is seeking a Software Engineer to work on its Machine Learning Platform. The role involves building a flexible ML platform to accelerate AI model development, developing next-generation AI backend systems for large-scale data processing, real-time feature generation, and evaluation/performance dashboards. The engineer will also establish and maintain MLops processes and tools, including model deployment, monitoring, and automation. This role requires strong problem-solving skills and a passion for learning new technologies, with the goal of making AI easier for everyone to use.

Must have:

BS/BA degree in Computer Science or related field.
Basic software testing skills (able to write unit tests).
Experience in Unix/Linux environments.
Strong problem-solving skills and passion for learning new technologies.
Great communication skills to work with different teams.

Good to have:

Familiarity with machine learning flow of building a data-driven AI system.
Experience to use and extend ML platform like Kubeflow, MLflow, Apache Submarine
Familiarity with cloud native ecosystems like k8s, helm, prometheus and argo.
Experience with distributed computing engine (Spark) or streaming computing framework (Flink).
Experience with Public Cloud like GCP.
Experience in one of the following programming languages: Python/Java.

12 skills required

12 skills required for this role

Add these skills to join the top 1% applicants for this job

java

algorithms

helm

spark

unix

python

linux

model-deployment

prometheus

communication

saas-business-models

team-management

Job Details

About Appier

Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

About the role

Appier's mission is to make AI easier for everyone to use. To achieve this, we build AI systems to connect heterogeneous data in the cross-screen era, to process information efficiently while achieving our goals, and to solve new and exciting real-world problems. Are you passionate about AI, and looking to be part of this flourishing AI age? Do you want to witness how different types of data play a key role in concurrent AI systems and contribute to improving the capability of these systems? Do you want to build incredible AI systems and watch them grow to meet our product needs? If yes, we'd love to talk to you.

Responsibilities

Build a flexible ML platform to speed up the development process of AI models.
Develop next-generation AI backend systems related to large-scale data processing, real-time feature generation, evaluation/performance dashboard.
Establish and maintain MLops processes and tools, including model deployment, monitoring, and automation.

About you

[Minimum qualifications]

BS/BA degree in Computer Science or related field.
Know basic software testing (able to write unit test for algorithms)
Experience in Unix/Linux environments.
Strong problem-solving skills and passion for learning new technologies.
Great communication skills to work side-by-side with scientists, and collaborate with engineers, product managers and other teams.

[Preferred qualifications]

Familiarity with the machine learning flow of building a data-driven AI system.
Experience to use and extend ML platform like Kubeflow, MLflow, Apache Submarine
Familiarity with cloud native ecosystems like k8s, helm, prometheus and argo.
Experience with distributed computing engine (Spark) or streaming computing framework (Flink).
Experience with Public Cloud like GCP.
Experience in one of the following programming languages: Python/Java.

#LI-AK1