Machine Learning Engineer

The role of a Machine Learning Engineer involves designing and implementing machine learning models to solve complex problems in the technology and telecoms industry. Based in Singapore, this temporary position offers a chance to contribute to innovative projects in a varied environment.

Client Details

An organisation operating within the technology and telecoms industry, located in Singapore.

Description

• Develop and implement machine learning models to address business challenges.
• Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.
• Analyse and preprocess data to ensure model accuracy and efficiency.
• Monitor, evaluate, and optimise the performance of deployed models.
• Stay updated on the latest advancements in machine learning technologies and tools.
• Provide technical support and guidance to stakeholders regarding machine learning applications.
• Document processes, methodologies, and results for future reference.

Profile

A successful Machine Learning Engineer should have:

• Strong proficiency in programming languages such as Python or similar.
• Experience with machine learning frameworks and libraries, e.g., TensorFlow or PyTorch.
• Solid understanding of data structures, algorithms, and statistical methods.
• Proven ability to work with large datasets and data preprocessing techniques.
• Effective problem-solving skills and attention to detail.

Job Offer

• Temporary role offering exposure to cutting-edge projects in the technology and telecoms industry.

If you are based in Singapore and meet the requirements, we encourage you to apply for this Machine Learning Engineer position.

To apply online please click the 'Apply' button. For a confidential discussion about this role please contact Meenal Sharma (Lic No: R21103442/ EA No.: 18C9065) on [+65 6643 9741](tel:+65 6643 9741). © Michael Page International Pte Limited, company number 199804751N (including Page Executive (53295516A) and Page Personnel Recruitment Pte Ltd (Registration Number: 201736642C)) operates under the EA Licence Numbers of 18S9099 and 18C9065.