Machine learning Engineer - Singaporean only - #1111465

Adecco


Date: 2 days ago
District: Singapore
Salary: $5,000 / month
Contract type: Full time
Work schedule: Full day
Adecco

Be the Engineer Everyone Talks About

Imagine building AI that can spot fraud before it happens, see the unseen in video streams, and generate intelligence across text, image, and sound. The kind of breakthroughs that make people say: "Who built that?" - and the answer is you.

Technical Skills/Play With the Coolest Tech in AI

  • Strong experience in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
  • Proficiency in computer vision techniques, including object detection (YOLO, Faster R-CNN), video analytics, and multimodal learning.
  • Hands-on experience with LLMs, transformers (GPT, BERT, T5, CLIP, etc.), and multimodal AI for text, image, and video synthesis.
  • Experience in fraud detection and/or anomaly detection using machine learning, pattern recognition, and risk modeling.
  • Experience in AWS SageMaker for model training and deployment preferred.
  • Familiarity with MLOps and deployment on cloud platforms (AWS and/or GCP preferred) or edge devices.

Collaborate at the Cutting Edge

Join forces with brilliant minds in deep learning, computer vision, and NLP, and thrive in a culture where curiosity is celebrated and experimentation is encouraged.

Freedom to Innovate

This isn't a checkbox role. You'll have the freedom to try, fail, iterate, and succeed-with the support to take your boldest ideas into production.

Growth That Redefines Careers

  • Master MLOps, edge AI, and large-scale deployment.

  • Build credibility in next-gen multimodal and generative AI.

  • Grow into an expert that the industry looks up to and seeks out.

Next steps:

  • Drop your resume and contact us to follow-up, or send your resume to [email protected] with current , expected salary and official notice period (Only Singaporean)
  • Email Topic: Apply Machine Learning Engineer/ AI Engineer

Tamanna Bilandi
Direct Line: 8463 2870
EA License No: 91C2918
Personnel Registration Number: R2096241

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