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Machine Learning Engineer – Data Pipeline and MLOps

SpringCube

Full time - Senior Associate/ Asst Manager

Telecommunications, Cable & Satellite

Singapore ( Hybrid )

Published 4 weeks ago

Salary: SGD5,000 - SGD10,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position above to find your next career move.

Machine Learning Engineer – Data Pipeline and MLOps

Company Overview
This leading communications technology group serves consumers and businesses across Asia, Australia, and Africa. Offering a comprehensive portfolio of services, including next-generation communication, 5G, technology solutions, and infotainment, the company connects over 740 million mobile customers in 21 countries. Its infrastructure and technology services span 21 countries with over 428 direct points of presence in 362 cities.

Job Description
This role as a Machine Learning Engineer in the Advanced Analytics team involves supporting core telecommunication operations. Responsibilities include machine learning operations, campaign automation, data pipeline development, production monitoring, and dashboard management, ensuring data-driven insights effectively optimize business processes.

Key Responsibilities

  • Translate prototype solutions into production-ready code by collaborating with internal stakeholders.
  • Design, implement, and maintain data pipelines, including job monitoring and alert systems.
  • Oversee automation jobs and maintain data quality monitoring frameworks.
  • Develop and maintain production dashboards to track campaign performance effectively.
  • Explore and research internal and external data sources to improve targeting strategies.
  • Implement DataOps and MLOps pipelines in production environments.

Requirements

  • Bachelor’s degree in Engineering, Science, IT, or related fields.
  • At least 1 year of relevant experience, or exceptional skills for fresh graduates.
  • Proficiency in Python, Java, and SQL.
  • Strong knowledge of data engineering and big data frameworks (e.g., Hadoop, Spark, Impala, Hive).
  • Familiarity with MLOps, DevOps, and CI/CD practices.
  • Experience in ETL development, data profiling, and data quality management.
  • Excellent teamwork, organizational skills, and attention to detail.
  • Effective communication and stakeholder engagement skills.

Disclaimer:
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To apply, click the “Apply” button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.