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Lead Machine Learning Engineer

Cosmoquick

Toronto · Hybrid Full-time Lead 1w ago

About the role

About Us

We are a rapidly growing tech company at the forefront of innovation, leveraging cutting-edge AI and machine learning to solve complex problems. We foster a collaborative and dynamic work environment where creativity and continuous learning are highly valued.

The Role

We are seeking an experienced and visionary Lead Machine Learning Engineer to join our talented team in Toronto. In this role, you will be instrumental in shaping our ML strategy, leading the development of advanced ML solutions, and mentoring a team of skilled engineers. You will work on challenging projects that have a direct impact on our products and services.

Responsibilities

  • Lead the design, development, and deployment of machine learning models.
  • Mentor and guide junior engineers on the team.
  • Collaborate with cross-functional teams to identify and implement ML solutions.
  • Stay up-to-date with the latest advancements in machine learning and AI.
  • Contribute to the overall ML strategy and roadmap.

Qualifications

  • 8+ years of experience in machine learning engineering.
  • Proven track record of leading ML projects from conception to production.
  • Strong understanding of ML algorithms, statistical modeling, and data mining techniques.
  • Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Experience with cloud platforms (AWS, Azure, GCP).
  • Excellent problem-solving and analytical skills.
  • Strong communication and leadership abilities.
  • Bachelor's degree in Computer Science, Engineering, or a related field (Master's or PhD preferred).

What We Offer

  • Competitive salary and performance bonuses.
  • Comprehensive health benefits, including medical, dental, and vision insurance.
  • Generous paid time off and holidays.
  • Retirement savings plan with company matching.
  • Opportunities for professional development and continuous learning.
  • A collaborative and inclusive work culture.
  • Hybrid work model with 3 days in office.

Skills

PythonTensorFlowPyTorchscikit-learnAWSAzureGCPMachine LearningStatistical ModelingData Mining

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