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Open nowPosted 13 days ago

AI/ML Engineer

MyCareersFuture94,028 open roles

Pay
SGD 5,700 – SGD 6,700 a month
Where
Singapore
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Your applicationOpen nowAI/ML EngineerMyCareersFuture · Singapore
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  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 13 days ago

The posting

Key Responsibilities:

  • Perform exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights from large datasets.
  • Translate business problems into analytical and machine learning solutions.
  • Design, develop, train, and optimise machine learning models and algorithms.
  • Evaluate model performance using appropriate validation techniques, hyperparameter tuning, and model optimisation methods.
  • Deploy machine learning models into production environments and integrate them with existing applications through APIs.
  • Collaborate with software engineering and DevOps teams to build scalable, production-ready AI solutions.
  • Monitor deployed models, troubleshoot issues, and continuously improve model accuracy and efficiency.
  • Present analytical findings and recommendations clearly to both technical and non-technical stakeholders.
  • Stay current with advancements in AI, machine learning, and data science, recommending new tools and best practices where applicable.

Requirements:

  • Minimum 3 years of hands-on experience in machine learning implementation, deployment, and statistical data analysis involving large datasets.
  • Strong experience translating business requirements into analytical solutions using statistical and machine learning techniques.
  • Proficient in:PythonSQLData WranglingData VisualisationDatabase Management Systems (DBMS)
  • Experience with one or more of the following:TensorFlowPyTorchRSASQlik Sense
  • Experience deploying machine learning models into production environments.
  • Familiarity with Agile development methodologies such as Scrum is preferred.

Nice to Have:

Experience with any of the following technologies would be advantageous:

  • Power BI
  • Microsoft Access
  • SharePoint
  • Kubernetes
  • Docker or Podman
  • Microservices Architecture
  • DevSecOps practices

Work Location: East / West

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to [email protected] for immediate processing.

(EA Reg No: 20C0312)

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