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ML/AI Systems Design Engineer
ML/AI Systems Design EngineerCynet Systems • Markham, ON
ML / AI Systems Design Engineer

ML / AI Systems Design Engineer

Cynet Systems • Markham, ON
Il y a 2 jours
Type de contrat
  • Temps plein
Description de poste

Job Description :

  • The ML / AI Systems Design Engineer will drive technical innovation to enhance machine learning and AI capabilities across validation, technical and procedural methodology improvements, and cross-functional initiatives.
  • The role involves designing, implementing, monitoring, and optimizing AI / ML models while collaborating with cross-functional teams to integrate solutions into various applications.

Responsibilities :

  • Drive technical innovation to improve ML / AI capabilities across validation and methodology enhancement initiatives.
  • Design and implement machine learning models and algorithms to solve complex problems.
  • Monitor and evaluate the performance of AI / ML models and implement improvements.
  • Document processes, models, and algorithms for future reference.
  • Collaborate with cross-functional teams to integrate AI / ML solutions into applications and workflows.
  • Should Have :

  • Proficiency in system design, development, and validation methodologies.
  • Deep understanding of relevant regulations, standards, and best practices.
  • Experience with machine learning algorithms and frameworks such as TensorFlow and PyTorch.
  • Proficiency in data analysis and modeling techniques.
  • Ability to develop and implement AI / ML models for system validation and optimization.
  • Knowledge of AI / ML best practices and industry standards.
  • Experience with AI / ML tools and libraries.
  • Strong understanding of neural networks and deep learning techniques.
  • Ability to work with large datasets and perform data preprocessing and feature engineering.
  • Hands-on experience designing and implementing LLM-powered agents and Retrieval Augmented Generation pipelines, including prompt orchestration, tool calling, vector store indexing strategies, and evaluation of end-to-end agentic workflows.
  • Experience integrating AI / ML solutions into existing systems and workflows.
  • Strong analytical and problem-solving skills with attention to detail.
  • Self-starter with the ability to independently drive tasks to completion.
  • Qualification And Education :

  • Bachelor’s or Master’s degree in Electrical Engineering or Computer Engineering.
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    MLAI Systems Design Engineer • Markham, ON

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