Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
13к-15к CAD/год
170к CAD230к CADмедиана260к CAD
По похожим ролям (48) ~ 230к CAD/год
На СНГ рынке: $4.2к/мес ($3.5к - $5.9к)
60
Средняя вакансия
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Роль четко определена с акцентом на современные решения в области данных и ИИ, но зарплата значительно ниже рыночных ожиданий, что может снизить ее привлекательность.
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Низкая зарплатаЧеткое определение ролиГибкость удаленной работыАутсорсинговая компания
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Forward Deployed Engineer (Data, ML & AI): Building production-grade data pipelines, machine learning systems, and agentic AI solutions directly within customer environments with an accent on architectural modernization and LLMOps. Focus on refactoring legacy data estates into modern lakehouses and deploying custom GenAI/RAG workflows to drive business velocity.
Location: Remote (NA/Eastern timezone), based in Toronto, Ontario
Compensation: 160K - 180K CAD / year
Company
hirify.global (a Carbon60 Company) provides specialized technical delivery and data modernization services for enterprise customers.
What you will do
Embed within customer environments to lead the end-to-end delivery of data discovery, schema design, and model integration.
Modernize legacy technology estates by refactoring monolithic SQL databases and ETL jobs into modern lakehouses and event-driven systems.
Apply Spec-Driven Development (SDD) using GenAI tools to generate production data models, PySpark jobs, and test suites.
Architect and deploy GenAI workflows, RAG pipelines, and autonomous AI agents using frameworks like LangChain, LlamaIndex, or DSPy.
Build and maintain robust MLOps orchestration pipelines using tools such as MLflow, Kubeflow, Airflow, or Dagster.
Elevate customer teams by establishing reusable agentic development patterns and data reliability frameworks.
Requirements
10+ years of experience as a Principal Data Engineer, Lead ML Engineer, or Enterprise Data Architect.
Strong executive presence and communication skills for direct interfacing with technical teams and business stakeholders.
Mastery of distributed computing (AWS Glue, Spark, Databricks) and modern data warehouses (Redshift, Snowflake, dbt).
Hands-on experience fine-tuning, evaluating, and deploying LLMs, embedding models, and vector stores.
Advanced proficiency in Python and SQL, plus fluency in at least two other languages (e.g., Scala, Go, Rust, TypeScript).
Willingness to travel occasionally to customer sites as needed.
Nice to have
Prior experience in Forward Deployed Engineering or technical consulting roles.
Experience migrating on-premise Hadoop or legacy data warehouses to cloud lakehouses.
Deep understanding of data governance and security compliance (HIPAA, SOC2, GDPR).
Culture & Benefits
Remote-first work environment with flexible work hours and location.
Competitive compensation with a Retirement Savings Matching Program (RRSP).
Employer-paid health and dental premiums, including GreenShield+ mental health counseling.
Annual $500 Health Care Spending Account.
Access to the latest technology and peer recognition rewards.
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