Michael Page Hiring! Full Time Machine Learning Engineer Operations in - Ricebowl

• Purpose-driven & inclusive organization
• Work on impactful, real-world ML solutions
  
  
  

About Our Client

The employer is a mid-sized organisation within the Technology & Telecoms industry, known for its focus on innovation and advanced technological solutions. The company operates in a fast-paced environment, offering employees the chance to work on impactful projects.

Job Description

• Develop, implement, and optimise machine learning models for operational purposes.
• Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.
• Analyse large datasets to identify patterns and insights that drive decision-making.
• Ensure the scalability and performance of machine learning models in production environments.
• Conduct testing and validation of models to ensure accuracy and reliability.
• Provide technical support and troubleshooting for deployed models and systems.
• Document processes, methodologies, and results for internal and external stakeholders.
• Stay updated on the latest advancements in machine learning and related technologies.
  
  
  

The Successful Applicant

A Successful Machine Learning Engineer Operations Should Have

• A strong educational background in computer science, data science, or a related field.
• Proficiency in programming languages such as Python or R, and frameworks like TensorFlow or PyTorch.
• Experience in working with large datasets and data analysis tools.
• Knowledge of machine learning algorithms, model development, and deployment processes.
• Ability to work collaboratively with cross-functional teams to achieve project goals.
• A proactive attitude towards problem-solving and process improvement.
  
  
  

What's on Offer

• Temporary opportunity to contribute to a key project in the Technology & Telecoms industry.
• Chance to work in a well-established organisation with a focus on innovation.
• Exposure to cutting-edge machine learning technologies and tools.
• Work location in Singapore, a hub for technology and innovation.
  
  
  

If this role aligns with your skills and aspirations, we encourage you to apply and take the next step in your career.

Contact: Meenal Sharma (Lic No: R21103442/ EA no: 18C9065)

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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.