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Machine Learning Analyst (AI)

105 000 - 129 000CAD
Формат работы
remote (только Canada)/hybrid/onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Machine Learning Analyst (AI/ML): Developing innovative AI/ML solutions to complex business challenges with an accent on end-to-end project delivery and scalable computational resources. Focus on building LLM workflows, implementing RAG, and optimizing data pipelines using Snowflake and AWS.

Location: Must have current work authorization for Canada. Flexible hybrid schedule in Toronto (relocating to Mississauga in late 2026), with 100% remote, hybrid, and in-office options available.

Salary: $105,000 – $129,000

Company

hirify.global is a leading investment firm that has helped Canadian investors build better financial futures for over 35 years.

What you will do

  • Develop machine learning-based software solutions using open source and proprietary systems.
  • Implement Generative AI and LLM solutions, including prompt engineering and retrieval-augmented generation (RAG).
  • Conduct exploratory data analysis and pre-processing using Snowflake and other enterprise data platforms.
  • Prototype new algorithms and conduct benchmarking against baselines and existing approaches.
  • Collaborate with ML Ops and business stakeholders in agile scrum sessions to implement high-impact solutions.
  • Support projects through the documentation, monitoring, and version control of models.

Requirements

  • Master’s Degree in Computer Science, Statistics, Software Engineering, or other STEM discipline.
  • 2+ years of experience in a data science, AI, or applied machine learning position.
  • Proficiency in Python-based AI/ML libraries (scikit-learn, PyTorch, pandas, NumPy).
  • Strong SQL skills and 1–2 years of experience working with Snowflake.
  • Experience with Git for version control, Docker, and Kubernetes.
  • Current work authorization for Canada is required.

Nice to have

  • Experience with AWS SageMaker and AWS certifications (Machine Learning, Data Analytics).
  • Experience building and deploying production ML models to solve inference challenges at scale.
  • Knowledge of Investment Funds in Canada and/or Canadian Securities Course (CSI) designation.

Culture & Benefits

  • Competitive annual wage and discretionary performance bonus.
  • Employer-funded RRSP contribution after 6 months of employment.
  • 100% employer-paid health premiums, including up to $6,000 annually for mental health services.
  • Parental leave top-up to 100% of salary for 25 weeks.
  • Up to $650 allowance for home office equipment.
  • Extensive professional development opportunities and tuition reimbursement.

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