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ML/AI SYSTEMS DESIGN ENGINEER

CYNET SYSTEMS - 71 emplois

Markham, ON

Posté aujourd'hui

Détails de l'emploi :

72,00 $ - 76,00 $ / heure
Temps plein
Expérimenté

Avantages :

Congés payés
Assurance invalidité
Programmes d'aide aux employés
Programmes de bien-être

Job Overview:

Pay Range: $72.37hr - $76.4hr

Requirement/Must 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 or 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 (RAG) pipelines, including prompt orchestration, tool calling, vector store indexing strategies, and evaluation of end to end agentic workflows.
  • Experience in integrating AI/ML solutions into existing systems and workflows.
  • Strong analytical and problem-solving skills and pronounced attention to details.
  • Must be a self-starter, and able to independently drive tasks to completion.

Responsibilities:

  • Driving technical innovation to improve ML/AI capabilities across validation, technical and procedural methodology enhancement, and various internal and cross-functional technical initiatives.
  • Designing and implementing machine learning models and algorithms to solve complex problems.
  • Monitoring and evaluating the performance of AI/ML models and making necessary improvements.
  • Documenting processes, models, and algorithms for future reference.
  • Collaborating with cross-functional teams to integrate AI/ML solutions into various applications.

Skills:

  • System Design.
  • Validation Methodologies.
  • TensorFlow.
  • PyTorch.
  • Data Analysis.
  • Modeling.
  • Neural Networks.
  • Deep Learning.
  • LLM.
  • RAG.
  • Prompt Orchestration.
  • Vector Store Indexing.

Qualification And Education:

  • Bachelors or Masters degree in electrical or computer engineering.

Benefits:

Our Benefits Include:

  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities

Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.


About Cynet Systems


Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.

As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

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