обновлено 26 дней назад
Machine Learning Analyst
105 000 - 129 000CAD
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Analyst (AI/Generative AI): Developing end-to-end machine learning and Generative AI solutions for complex investment-services business challenges with an accent on exploratory data analysis, model development, LLM applications, and scalable deployment. Focus on evaluating and improving models, building retrieval-augmented generation and conversational AI use cases, optimizing Snowflake data workflows, and supporting production ML environments.
Location: Toronto office at 483 Bay Street, moving to the Mississauga office at 3 Robert Speck Parkway in approximately late 2026; current work authorization for Canada is required. Flexible hybrid scheduling is available, with remote and in-office options.
Salary: CAD 105,000–129,000 total annual cash compensation, including base salary and target bonus.
Company
provides investment portfolios and financial services to individual and institutional investors.
What you will do
- Develop, prototype, evaluate, and improve machine learning software solutions for complex business use cases.
- Perform exploratory data analysis, data preprocessing, transformation, feature refinement, benchmarking, and error analysis.
- Develop Generative AI and large language model applications, including prompt engineering, retrieval-augmented generation, document intelligence, summarization, classification, and conversational AI.
- Prepare, query, transform, and analyze structured and unstructured enterprise data using Snowflake and Snowflake Cortex.
- Assist with deploying and monitoring models on on-premise and cloud platforms, including customized ML environments.
- Collaborate with Emerging Technology, ML Ops, infrastructure teams, and business stakeholders in agile Scrum projects; maintain documentation and version control.
Requirements
- Master’s degree in Computer Science, Statistics, Software Engineering, or another STEM discipline, or equivalent experience.
- At least 2 years of experience in data science, artificial intelligence, or applied machine learning, including experience building production models.
- Strong knowledge of predictive modeling, supervised and unsupervised learning, deep learning, NLP, Generative AI, LLMs, model evaluation, time series analysis, ensemble methods, and optimization.
- Practical experience with Python AI/ML libraries, strong SQL, Snowflake data transformation and query optimization, and Git-based development workflows.
- Experience with cloud ML deployment, AWS or SageMaker, Docker, Kubernetes, data annotation, active learning, and ML model pipelines.
- Current authorization to work in Canada is required.
Nice to have
- Experience with Snowflake Cortex, LangChain, LlamaIndex, embeddings, vector search, semantic search, and LLM orchestration.
- AWS Certified Machine Learning or AWS Certified Data Analytics certification.
- Investment Funds in Canada or Canadian Securities Course certification.
Culture & Benefits
- Flexible working arrangements with remote, hybrid, and in-office options.
- RRSP contributions after six months of employment without an employee matching requirement.
- Employer-paid health benefits from the first day, including mental health and therapy coverage.
- Parental leave top-up, home office equipment allowance, paid volunteer days, and generous time off.
- Professional development through training courses, tuition reimbursement, and support for required designations.
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