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AI Engineer – Machine Learning & Edge AI (Computer Vision)

AI Engineer – Machine Learning & Edge AI (Computer Vision)

HT ConsultingSelangorMalaysia, Selangor, Malaysia
12 jam yang lalu
Penerangan pekerjaan

We’re building the brains behind straight-through-processing (STP) in banking - AI models that can recognize, evaluate, and validate information in real time on edge devices. As an AI Engineer, you’ll join our R&D team to develop and refine computer vision models for edge systems, combining deep learning expertise with hands-on software development.

You’ll explore new approaches, fine-tune them through testing and optimization, and ensure they perform reliably in production. Along the way, you’ll work closely with teammates from diverse technical backgrounds who share a passion for solving complex problems with AI.

What You'll Do

  • Develop, fine-tune, and evaluate computer vision deep learning models for different tasks and applications.
  • Carry out applied research in deep learning and transfer those findings into production-ready solutions.
  • Process and prepare image datasets through pre-processing, cleaning, and quality checks, applying a data-centric approach to ensure reliable model inputs.
  • Evaluate models using standard metrics, analyze the results, and iterate to improve accuracy and confidence levels.
  • Apply optimization methods such as pruning, quantization, and knowledge distillation to make models efficient on edge devices.
  • Develop APIs and microservices so that trained models can be served and integrated into real-world systems.
  • Work closely with team members to review research papers, share learnings, and continuously improve practices in model development.

What we’re looking for

  • 2–3 years practical experience in computer vision and deep learning, with a proven track record of building and applying models in real projects.
  • Strong programming skills in Python , with hands-on use of frameworks such as PyTorch or TensorFlow .
  • Solid understanding of statistics, including the ability to design experiments, run tests, analyze results, and interpret findings to guide model improvements.
  • Familiarity with edge computing hardware such as Jetson, TPU, or FPGA, and the ability to optimize models to run efficiently on these devices.
  • Knowledge of model optimization methods such as pruning, quantization, or distillation, and how to apply them to reduce model size, improve speed, and maintain accuracy for deployment on edge systems .
  • Ability to evaluate and report model performance using appropriate metrics (e.g., precision, recall, F1 score, latency, throughput), while embracing a data-centric approach to AI modelling to continually improve outcomes .
  • Clear communication skills and the willingness to collaborate with a multi-disciplinary team.
  • A degree in Computer Science, Data Science, Artificial Intelligence, or a related field (or equivalent practical experience).
  • Hands-on experience applying computer vision and deep learning in real projects, including model training and evaluation.
  • Exposure to deploying models on edge devices (e.g., Jetson, TPU, FPGA) and to production-level software practices such as version control, testing, or CI / CD.
  • Why Join Us?

  • Work on AI models that move beyond theory — your code will run in real-world systems where accuracy, speed, and reliability matter.
  • Join a tight-knit R&D team led by seasoned AI and computer science experts, where you’ll have space to learn, experiment, and grow through direct hands-on mentorship.
  • Advance from IC2 to IC3 , taking on more independence and project ownership as your skills mature.
  • Build your craft end-to-end from data to deployment, from research paper to production-ready model – See your work deployed in production systems where every improvement in accuracy, speed, or reliability makes a real difference.
  • #J-18808-Ljbffr

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