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Python Ml Developer Jobs in Vancouver, BC (NOW HIRING)

TELUS

AI Lead/Developer

Vancouver, BC · On-site

Architect and develop AI/ML full-stack solutions and proof-of-concepts using GenAI technologies and ... Frontend (React, modern JavaScript/TypeScript) and Backend (Python, RESTful APIs) * Strong ...

TELUS

Staff Applied AI/ML Scientist

Burnaby, BC · On-site

Coach and mentor a growing team of data scientists and engineers, fostering a culture of continuous ... Strong expertise in Python and experience with data science libraries (e.g., Scikit-learn, Pandas ...

PDF Solutions

Senior QA Automation Engineer

Vancouver, BC · On-site

CA$80K - CA$115K/yr

AI / ML Application Validation * Validate machine learning models by evaluating prediction accuracy ... Cloud, Container & DevOps Testing * Test applications deployed as Docker containers across multiple ...

Fortinet, Inc.

Senior Threat Hunting Specialist

Burnaby, BC · On-site

CA$101K - CA$124K/yr

Collaborate with ML engineers and data scientists to define, propose, and validate candidate ... Practical scripting ability for attack simulation and PoC generation (Python required; PowerShell ...

Fortinet

Senior Threat Hunting Specialist

Burnaby, BC

CA$101K - CA$124K/yr

Collaborate with ML engineers and data scientists to define, propose, and validate candidate ... Practical scripting ability for attack simulation and PoC generation (Python required; PowerShell ...

Vancity

RPA and Agentic AI Engineer

Vancouver, BC

Collaborate with GenAI and Applied ML pods to integrate LLM powered services and predictive models ... Solid programming skills in Python, C#, VB.NET, or equivalent, with strong problem-solving ability

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Python Ml Developer information

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

What are the key skills and qualifications needed to thrive as a Python ML Developer, and why are they important?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
What are popular job titles related to Python Ml Developer jobs in Vancouver, BC? For Python Ml Developer jobs in Vancouver, BC, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Vancouver, BC look for? The top searched job categories for Python Ml Developer jobs in Vancouver, BC are:
Python Ml Developer jobs near you
AI Lead/Developer

AI Lead/Developer

TELUS

Vancouver, BC • On-site

Other

Posted 19 days ago

TELUS rating

8.0

Company rating: 8.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

19th of 80 rated telecommunications companies

Job description

Description

Turn AI Opportunities Into Reality - Lead full-stack development, mentor the next generation of AI engineers, and transform finance operations.

Join our team and what we'll accomplish together

At TELUS, the Finance AI & Automation team drives our transformation into an AI-powered organization. In the AI Lead role, you will identify opportunities and build scalable AI-driven solutions while fostering innovation.

You'll leverage technical expertise in GenAI and cloud architecture to build and maintain scalable, intelligent applications that deliver measurable business value. As a technical leader and mentor, you will be involved in full-stack development and partner with Finance leaders to turn AI opportunities into reality.

What you'll do

  • Architect and develop AI/ML full-stack solutions and proof-of-concepts using GenAI technologies and cloud platforms (GCP/Azure)

  • Design and develop data pipelines, robust APIs that serve as foundations powering AI automations and transformative solutions

  • Facilitate process mapping sessions with finance SMEs to capture decision rules and identify potential solutions

  • Drive successful transitions for AI/ML tools from ideation through pilot to scaled deployment across the enterprise

  • Drive accountability through metrics tracking and transparent stakeholder communication

  • Lead technical design discussions, conduct architecture reviews, and mentor junior developers to foster best practices

Qualifications

What you bring

  • Proven 6-8 years of experience in software development or data management, with at least 4 years of technical leadership or architecting complex solutions

  • Advanced data handling and ETL skills, including Cloud Platforms (GCP, Azure), SQL, Data Modeling, and Cloud Data stores

  • Full stack development skills: Frontend (React, modern JavaScript/TypeScript) and Backend (Python, RESTful APIs)

  • Strong background in Machine Learning frameworks, GenAI platforms, LLMs, and agentic AI

  • Exceptional communication skills to present technical concepts to finance stakeholders and business leaders in accessible terms

  • Experience facilitating requirement gathering, design sessions, and technical/architectural reviews

  • Degree in Technology, Computer Science, Finance, Business, or a related field


Great-to-haves

  • Cloud certifications (GCP Professional or Azure Solutions Architect)

  • Familiarity with TELUS data platforms, tools, and AI governance frameworks

  • Prior AI squad or transformation initiative experience

What TELUS employees say

Pay

Hours and flexibility

Workplace

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