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Machine Learning Engineer

SpringCube

Full time - Senior Associate/ Asst Manager

Artificial Intelligence AI

Singapore ( Hybrid )

Published 3 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 below to find your next career move.

Machine Learning Engineer

Company Overview

This organization is a cutting-edge technology venture, built on strategic partnerships with leading industry players across Southeast Asia. It aims to redefine customer engagement by leveraging machine learning and artificial intelligence to deliver innovative, insights-driven platforms that serve millions of users and merchant partners. The company’s core values center on teamwork, continuous learning, and driving long-term value for customers.

Job Description

The Machine Learning Engineer will play a pivotal role in designing and implementing ML-based solutions that provide hyper-personalized experiences for customers. This individual will collaborate with cross-functional teams to operationalize ML models, ensure efficient inference delivery, and drive innovation in AI/ML product features.

Key Responsibilities:

  • Design and deliver an ML-based pricing system to create hyper-personalized customer experiences.
  • Collaborate with data scientists, data engineers, and platform engineers to operationalize ML models, including automating pipelines, performance monitoring, and testing.
  • Work with product owners to define AI/ML features based on customer and partner needs.
  • Advocate for AI/ML adoption through mentoring and technical knowledge-sharing sessions.
  • Participate in design and code reviews to ensure high-quality outputs.

Skills for Success

  • At least 3+ years of experience in software engineering or machine learning engineering.
  • Proficiency in Python, Java, PySpark, and Scala.
  • Familiarity with Big Data frameworks, such as Hadoop, Spark, Impala, and Hive.
  • Experience in building and optimizing ML models, pipelines, and architectures.
  • Hands-on experience with ML frameworks like TensorFlow, Keras, and PyTorch.
  • Strong understanding of MLOps and deploying ML models into production.
  • Background in working in agile environments.
  • Bachelor’s degree in Computer Science, Data Science, IT, or a related field.

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. Users must click to apply, redirecting to the employer’s career page.
  4. No Liability: SpringCube is not liable for inaccuracies.