Senior Software Engineer, Machine Learning

Building and maintaining high-scale ML pipelines using big data technologies (Spark, BigQuery, Delta Lake), writing reliable, testable, and maintainable production-ready code.

Leveraging modern ML platforms like Vertex AI or Databricks to orchestrate workflows and optimizing models for both batch/offline training and real-time/streaming inference with a focus on low latency.

Gaining a deep understanding of specific domain challenges (e.g., fraud detection, location spoofing) to engineer better features and network-level intelligence that go beyond algorithms.

Championing best practices in software engineering, including CI/CD, automated testing, code reviews, and documentation to ensure ML systems are built to software engineering standards, not just research scripts.

Acting as a technical lead for projects, defining milestones and ensuring on-time delivery, mentoring Data Scientists on engineering best practices, and collaborating with other engineers to integrate models into the wider platform.

You are skilled in both Software Engineering and Data Science, with a focus on system design, algorithms, clean code, statistical analysis, model selection, and evaluation.

You have a successful history of implementing ML models at a large scale and have the ability to write code to wrap, serve, and scale these models.

You are open to incorporating AI into your workflow and using AI-assisted tools to expedite development, refactor code, and efficiently solve problems. You are experienced in Databricks or Vertex AI and can build pipelines in these environments.

You are driven and can independently lead complex technical projects from ideation to execution. Moreover, you are proficient in English, capable of conveying technical concepts to non-technical audiences and collaborating across departments.

You have a keen interest in delving into domain knowledge to uncover hidden trends and anomalies. Experience in fraud detection or anomaly detection is an added advantage.

Learning opportunities and personal development support

Comprehensive health insurance coverage

Competitive compensation package

Lucrative bonuses including 13th month, business performance, and share appreciation rights

Annual salary performance review

Flexibility with hybrid working arrangements and contemporary office in a prime location

Annual company trip and year-end celebration

Regular team-building activities

Access to in-office snacks and beverages

International workplace atmosphere

Weekly in-office yoga classes

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666