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AI/ML Engineer - Jobs in Toronto

Job LocationToronto
EducationNot Mentioned
SalaryNot Mentioned
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypeFull time

Job Description

Job Title: AI/ML Engineer Location: Remote/Hybrid (Canada-based candidates only) Experience Level: 1-4 Years Job Type: Full-Time / Contract About the Role We are seeking a driven and skilled AI/ML Engineer to join our growing technology team. The ideal candidate will have a strong foundation in machine learning, data preprocessing, and model deployment, with a passion for solving real-world problems using AI. You will work closely with data scientists, backend engineers, and product managers to build and scale intelligent systems across our products. Key Responsibilities

  • Design, build, and deploy machine learning models for various applications.
  • Collaborate with cross-functional teams to define AI-driven features and deliver end-to-end solutions.
  • Preprocess large datasets, perform feature engineering, and apply statistical analysis techniques.
  • Train, validate, and optimize ML models using standard libraries and frameworks.
  • Monitor and maintain deployed models for accuracy and performance.
  • Document model design, performance benchmarks, and technical decisions.
  • Stay up-to-date with the latest research and advancements in AI/ML.
Required Skillsamp; Qualifications
  • 1-4 years of experience working in AI/ML or data science roles.
  • Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
  • Strong understanding of machine learning algorithms, model evaluation, and tuning.
  • Experience with data manipulation and analysis using Pandas, NumPy, and visualization tools like Matplotlib or Seaborn.
  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and tools for model deployment (e.g., Flask, FastAPI, Docker).
  • Experience with version control systems like Git.
  • Solid knowledge of SQL and/or NoSQL databases.
  • Good communication and documentation skills.
Nice to Have
  • Knowledge of NLP, Computer Vision, or Deep Learning techniques.
  • Hands-on experience with MLOps tools and CI/CD pipelines for ML models.
  • Exposure to large language models (LLMs), vector databases, and retrieval-augmented generation (RAG).
  • Experience working in Agile or cross-functional product teams.

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