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Jobs in Singapore   »   Jobs in Singapore   »   Maintenance / Repair Job   »   Machine Learning Engineer
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Machine Learning Engineer

Evolution Recruitment Solutions Pte. Ltd.

Evolution Recruitment Solutions Pte. Ltd. company logo

You will be part of the pioneer team of an up-and-coming startup


Onsite, Central West


We are seeking an AI/ML expert with a strong background in engineering and applied research to help develop our foundational logical reasoning AI system. The ideal candidate will have extensive experience in AI/ML, having worked with various neural network architectures and model training techniques across different modalities. A solid track record in graphs, ML-based code synthesis, and real-world engineering applications is highly desirable.


Responsibilities

  • Design, develop, deploy, and evaluate innovative machine learning models and algorithms for theorem proving to advance logical reasoning in AI.
  • Apply diverse ML techniques, including supervised, unsupervised, and reinforcement learning.
  • Handle large datasets by preprocessing, cleaning, and transforming data for model training and evaluation.
  • Implement data pipelines and ETL processes to ensure smooth data flow and accessibility.
  • Design and execute experiments, analyze results, develop metrics and benchmarks, and optimize machine learning model performance.


Requirements

  • Master’s or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
  • 5+ years of experience in machine learning, AI, or related fields.
  • Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Expertise in deep learning architectures and techniques, particularly across domains like vision, natural language, and graphs; additional experience with other neural network architectures (e.g., symbolic, GraphML) is a bonus.
  • Experience with program/code synthesis or models focused on systems design generation.
  • Demonstrated application of ML to various real-world engineering use cases.
  • Familiarity with cloud platforms and ML toolkits, including containerization and orchestration tools like Docker and Kubernetes.
  • Familiarity with CI/CD tools such as Jenkins, GitLab CI, or CircleCI.
  • Contributions to open-source projects in the machine learning or AI communities.

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