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Python Flask Developer Remote Jobs in Toronto, ON

Senior ML Engineer

Toronto, ON ยท Remote

$180K - $240K/yr

You're an applied AI engineer who thrives in startup environments, writes clean Python, and can ... Remote-first with strong perks -- flexible vacation, paid sabbatical after 5 years, comprehensive ...

As an AI Software Engineer, you will design, build, deploy, and optimize AI-powered products and ... Strong experience with Python and backend frameworks such as Flask or Django for building ...

Remote (with hybrid options in Toronto) Compensation: Hourly ($32) The Vosyn internship is unique ... Write clean, efficient, and maintainable code using high-level programming languages such as Python ...

Strong Terraform skills, including modules, remote state concepts, review practices, and safe ... Practical scripting or programming ability in Bash, Python, Go, or similar for automation and ...

25-153 BI Developer

Oshawa, ON ยท Remote

$60 - $85/hr

Oshawa, ON (100% remote) Job Overview JOB FUNCTIONS: Semantic Modeling & Enterprise Reporting is ... Python, DAX advanced data transformation. Strong and proven knowledge of security models (e.g., row ...

25-125 FinOps Engineer

Pickering, ON ยท Remote

$80 - $95/hr

MP4, $80- $95/hr INC Duration: 12 Months Hours of work: 35 Location: (Hybrid - 1 day remote) Temp ... Azure DevOps for workflow management, Grafana for building dashboards, and Python for ETL, ...

Python, AWS * Docker * Experience working with remote teams * Note: Not all of these technologies are required, if you have a subset of these we would love to talk to you

Python, AWS * Docker * Experience working with remote teams * Note: Not all of these technologies are required, if you have a subset of these we would love to talk to you

Remote Job Summary: We're looking for a Senior Data Engineer with strong data platform experience ... Proficiency in SQL and Python with strong familiarity towards modern data engineering frameworks ...

Their backend is developed in Python running in the cloud over k8s. It's not a typical backend ... remote role, ideally US or Europe ( NO Applications from India / Pakistan ) EST Timezone

Their backend is developed in Python running in the cloud over k8s. It's not a typical backend ... remote role, ideally US or Europe ( NO Applications from India / Pakistan ) EST Timezone

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Python Flask Developer Remote information

What is the difference between Python Flask Developer Remote vs Python Django Developer Remote?

AspectPython Flask Developer RemotePython Django Developer Remote
Required CredentialsProficiency in Flask, Python, REST APIs, basic database knowledgeProficiency in Django, Python, REST APIs, database management
Work EnvironmentRemote, collaborative teams, startup or tech companiesRemote, often larger organizations or SaaS providers
Industry UsageWeb development, microservices, lightweight APIsFull-stack web apps, enterprise solutions, content management
Search & Comparison IntentCommonly compared due to similar Python frameworks and remote work options

Both Python Flask Developer Remote and Python Django Developer Remote roles involve remote work with Python expertise. Flask developers typically focus on lightweight, flexible microservices, while Django developers work on more comprehensive, full-featured web applications. The choice depends on project complexity and specific framework familiarity.

What are the key skills and qualifications needed to thrive as a Python Flask Developer in a remote role, and why are they important?

To excel as a remote Python Flask Developer, you need strong proficiency in Python programming, experience with the Flask web framework, and a solid understanding of RESTful API design, usually supported by a relevant degree or portfolio. Familiarity with tools such as Git, Docker, cloud platforms (e.g., AWS), and CI/CD pipelines is highly valued, alongside knowledge of databases like PostgreSQL or MongoDB. Excellent problem-solving, self-motivation, and clear written communication are crucial soft skills for effective remote collaboration and project delivery. These skills ensure the developer can build robust web applications, work independently, and contribute efficiently to distributed teams.

What are the main collaboration and communication tools used by remote Python Flask developers, and how do they impact daily workflow?

Remote Python Flask developers typically rely on tools like Slack or Microsoft Teams for instant messaging, Zoom or Google Meet for virtual meetings, and project management platforms such as Jira or Trello for tracking tasks. Version control is managed using Git services like GitHub or GitLab. These tools facilitate seamless collaboration with cross-functional teams, help maintain transparency, and ensure that everyone stays aligned on project goals, making remote work efficient and organized.

What does a Python Flask Developer do when working remotely?

A Python Flask Developer working remotely designs, develops, and maintains web applications using the Flask framework and the Python programming language. Their responsibilities often include building and integrating APIs, writing backend logic, managing databases, and collaborating with team members through digital communication tools. Remote developers also ensure code quality through testing and debugging, while keeping up with project requirements and deadlines. Effective communication and self-motivation are essential for success in a remote role.
What are the most commonly searched types of Python Flask Developer jobs in Toronto, ON? The most popular types of Python Flask Developer jobs in Toronto, ON are:

Senior ML Engineer

Career Renew

Toronto, ON โ€ข Remote

$180K - $240K/yr

Full-time

Medical, PTO

Posted 16 days ago

Be an early applicant


Job description

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.
Since 2017, weโ€™ve been on a mission to use AI to resolve as many conversations as possible while elevating human agents to do what they are uniquely good at.

We are looking for a Senior Machine Learning Engineer with 5+ years of experience to join our small but mighty ML team building production-grade AI voice agents used by enterprise customers like AAA and Fanatics. You're an applied AI engineer who thrives in startup environments, writes clean Python, and can ship LLM-powered systems that handle real, high-stakes conversations at scale โ€” not just run experiments.


What will you be doing?

  • Leading the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields

  • Translating the latest research into high-performing systems and models that can be practically applied to enhance user experiences

  • Help set the team's strategic direction, cultivating an environment that encourages innovation and professional growth

  • Actively engaging in all aspects of development, from ideation and experimentation to implementation and deployment

  • Collaborating with various teams and product managers to develop and implement ML based solutions, ensuring performance optimization and alignment with broader business goals

Requirements:
5 - 10 years of experience in applied ML engineering, building production systems in Python with LLMs or NLP (Mandatory)
Experience building production systems in Python (Mandatory)
Familiarity with low-latency production ML systems (Mandatory)
Experience working at a high-growth startup (Mandatory)
Background in NLU, NLP, or conversational AI (Nice-to-have)
BS/MS/PhD in CS, ML, Mathematics, or closely related field with ML coursework (Mandatory)
Why you should join
  • Industry leader in Voice AI for customer service since 2017 โ€” powering enterprise customers like AAA and Fanatics where 50%+ of callers get fully resolved by the bot with higher satisfaction scores than human agents.
  • $113M raised from top-tier investors including Stripes, Salesforce Ventures and Norwest โ€” Series B closed in 2022 at $78M with strong backing from day one.
  • Work on genuinely cutting-edge AI problems โ€” low latency inference, hallucination reduction, prompt injection guardrails and dynamic conversation design at the frontier of what's possible with LLMs today.
  • Small team means real ownership and real impact โ€” every improvement you ship moves the needle for enterprise customers in high-stakes scenarios (think: someone stranded on the road calling AAA).
  • Remote-first with strong perks โ€” flexible vacation, paid sabbatical after 5 years, comprehensive health benefits, wellness stipend and a tech/learning stipend for conferences, books and courses. Competitive salary ($180Kโ€“$230K) plus meaningful equity.