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Machine Learning jobs in Toronto, ON

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    • Model Implementation: Design and deploy machine learning models using Python, focusing on both predictive analytics and Generative AI applications.
    • Strong understanding of statistical analysis, machine learning algorithms, and model performance measurement.
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    • Senior Manager, Machine Learning leverages advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to…
    • Experience applying data science, machine learning, artificial intelligence, or advanced analytics techniques in a highly regulated environment.
    • Design and maintain reproducible machine learning pipelines for production environments.
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    • Develops and prototypes novel machine learning models for cancer signal detection in liquid biopsy;
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    • Sound judgment, attention to detail, and a strong learning mindset, with a willingness to take ownership and improve processes over time.
    • Develops prediction systems and machine learning algorithms.
    • Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning,…
    • Automates complex business processes end-to-end,.
    • Optimizes operational workflows for advisors and customers, and.
    • GitHub Copilot experience is a strong plus.
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    • Develops prediction systems and machine learning algorithms.
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    • The Director, Research & Ecosystems is accountable for driving industry research and publications in AI and Data (i.e., quantum AI), enabling open innovation…
    • Develops machine learning/deep learning models.
    • In-depth knowledge in machine learning and deep learning models, such as but not limited to, XGboosting, LSTM…
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Job Post Details

Data Scientist - job post

MSi Corp.
3.5 out of 5 stars
Mississauga, ON L4W 5R1•Hybrid work
$40–$50 an hour - Contract

Job details

Pay

  • $40–$50 an hour

Job type

  • Contract

Location

Mississauga, ON L4W 5R1•Hybrid work

Full job description

We are seeking a versatile Data Scientist to join our team and bridge the gap between traditional data analysis and cutting-edge Large Language Models (LLMs). In this role, you will be responsible for building end-to-end solutions, fine-tuning models, and leveraging advanced AI tools like Gemini.

This position is ideal for a strong Python developer who is deeply passionate about the evolving landscape of AI and eager to build production-ready AI applications. This is a new position.

Key Responsibilities

  • Model Implementation: Design and deploy machine learning models using Python, focusing on both predictive analytics and Generative AI applications.
  • LLM Integration: Develop applications using LLMs (e.g., Gemini, GPT-4, etc...) through API integration, prompt engineering, and customize workflows.
  • Data Pipeline Development: Write clean, maintainable Python code to extract, transform, and load (ETL) data from various sources.
  • Experimentation & Evaluation: Conduct rigorous testing and evaluation of model performance, ensuring AI outputs are accurate, grounded, and ethical.
  • Collaboration: Work closely with product and analysts teams to integrate data insights and AI features into our core products.

Technical Qualifications

  • Python: High proficiency in Python and its data ecosystem (e.g., Pandas, NumPy, Scikit-Learn, PyTorch/TensorFlow)
  • LLM Expertise: Hands-on experience with LLM orchestration frameworks
  • API Proficiency: Familiarity with calling and managing APIs.
  • Database Knowledge: Experience with SQL
  • Version Control: Comfortable using Git/GitHub for collaborative development.

Preferred Professional Background

  • 1 to 3 years of experience with a strong portfolio of Python projects or a relevant degree.
  • 1+ experience in deploying models into a production environment.
  • A "hacker” mindset, the ability to keep up with the weekly changes in the AI space and self-teach new libraries.

Pay: $40.00-$50.00 per hour

Work Location: Hybrid remote in Mississauga, ON L4W 5R1

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