Senior Software Engineer, Machine Learning (Enterprise Solution)

1 Month ago • 3 Years + • Devops

Job Summary

Job Description

The Senior Software Engineer, Machine Learning will join the Enterprise Solution Science Team. They will be responsible for applying cutting-edge ML technologies to marketing problems by combining them with omnichannel customer data. The role involves building and optimizing scalable, high-performance ML infrastructure, including data pipelines, dashboards, and monitoring systems. Responsibilities also include designing and operating ML job execution frameworks, building and maintaining API servers and developer tools, architecting and scaling batch pipelines, designing and monitoring data infrastructure, and ensuring high availability and observability through monitoring tools. The engineer will collaborate with ML scientists and cross-functional teams to deliver high-quality AI products.
Must have:
  • 3+ years of experience in ML platform engineering or MLOps.
  • Proficiency in Python, Java, or Go with data structures knowledge.
  • Experience in cross-functional collaboration and leading projects.
  • Strong analytical and problem-solving skills, impact-driven mindset.
  • Proficient in using LLM-powered tools to boost development productivity.
Good to have:
  • Industry experience in MarTech domain.
  • Strong ownership mindset and architectural thinking.
  • Understanding of core ML and deep learning concepts.
  • Hands-on experience with end-to-end ML workflows.
  • Familiarity with distributed computing frameworks (e.g., Apache Spark).
  • Proficiency with cloud-native ecosystems.

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

We are looking for a Senior Software Engineer, Machine Learning to join the Enterprise Solution Science Team. 
This team focuses on applying cutting-edge ML technologies to real-world marketing problems by combining them with omnichannel customer data.
In this role, you will help bridge the gap between research and production by building and optimizing scalable, high-performance ML infrastructure — including data pipelines, dashboards, and monitoring systems.

 

What You’ll Work On

  • Design and operate robust ML job execution frameworks for training, inference, and post-processing.
  • Build and maintain internal API servers and developer tools to orchestrate ML jobs on Kubernetes (via Argo Workflows, Helm, Terraform).
  • Architect, implement, and scale batch (Spark) pipelines for ML training and evaluation.
  • Design and monitor data infrastructure using PostgreSQL and other databases.
  • Ensure high availability and observability through monitoring tools like Prometheus and Grafana.
  • Create internal tools and services to simplify ML experimentation and production workflows.
  • Collaborate closely with ML scientists to turn research outputs into user-facing product features
  • Partner with engineers, PMs, and other cross-functional teams to deliver high-quality AI products

 

What We’re Looking For (Minimum)

  • Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred)
  • 3+ years of practical experience in ML platform engineering, MLOps, or data infrastructure. Includes deploying enterprise-grade ML systems (e.g., model serving, pipeline automation), integrating data sources, and building dashboards.
  • Proficiency in at least one programming language such as Python, Java, or Go, along with solid understanding of data structures and algorithms
  • Experience in cross-functional collaboration and leading projects 
  • Impact-driven mindset, strong analytical and problem-solving skills, and a continuous passion for learning cutting-edge technologies.
  • Proficient in using LLM-powered tools (e.g., Github Copilot, ChatGPT) to boost development productivity

 

What We’re Looking For (Preferred)

  • Industry experience in the MarTech domain, with a strong passion for building customer-centric products
  • Strong ownership mindset and architectural thinking, with the ability to lead cross-functional platform initiatives
  • Understanding of core ML and deep learning concepts
  • Hands-on experience with end-to-end ML workflows and AI system architecture, and familiarity with platforms like Kubeflow, MLflow, or Apache Submarine.
  • Familiarity with distributed computing frameworks (e.g., Apache Spark)
  • Proficiency with cloud-native ecosystems (e.g., Kubernetes, Helm, Prometheus, Argo Workflows)

 

 

 

#LI-AK1

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