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MLOps Data Engineer: Deployment & Automation

Synapxe

Singapore

On-site

SGD 80,000 - 100,000

Full time

3 days ago
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Job summary

A technology solutions company based in Singapore is seeking a MLOps Functional Analyst, who will also act as a Developer for MLOps projects. The role involves managing AI Medical Imaging Platform projects, reviewing technical solutions, and automating model deployment. Candidates should have a degree in relevant fields, practical software engineering experience, and proficiency in programming languages like Python, R, and SQL. Familiarity with Agile methodologies and at least 3-5 years of IT experience is essential.

Qualifications

  • Practical experience in software engineering or software development for AI/ML models.
  • Degree or equivalent training in related analytical fields.
  • Understanding of Python, R, SQL programming languages.
  • Foundational knowledge of Cloud infrastructure setup and data pipelines.
  • Experience with Agile and Scrum methodologies.
  • At least 3-5 years in IT system development and maintenance.

Responsibilities

  • Review technical solutions for deploying AI models.
  • Utilize DevOps tools for automated model deployment.
  • Provide guidance for model deployment platform maintenance.
  • Analyze, design, and develop tests for model automation.
  • Implement API interfaces and set up CI/CD pipelines.
  • Collaborate with Data Scientists and Engineers on data models.
  • Manage database servers and collaborate with Cloud engineers.

Skills

AI/ML model production readiness
Software engineering
Python
R
SQL
Cloud computing
Agile methodologies

Education

Degree in Business Analytics, Computer Science, or related fields

Tools

Tableau
QlikSense
Power BI
Job description
A technology solutions company based in Singapore is seeking a MLOps Functional Analyst, who will also act as a Developer for MLOps projects. The role involves managing AI Medical Imaging Platform projects, reviewing technical solutions, and automating model deployment. Candidates should have a degree in relevant fields, practical software engineering experience, and proficiency in programming languages like Python, R, and SQL. Familiarity with Agile methodologies and at least 3-5 years of IT experience is essential.
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