This role focuses on developing Python-based frameworks, Streamlit applications, and reusable ... Design & Develop AI engineering using Cortex. What's in it for you? We thrive on the challenge to ...
This role focuses on developing Python-based frameworks, Streamlit applications, and reusable ... Design & Develop AI engineering using Cortex. What's in it for you? We thrive on the challenge to ...
This opportunity is ideal for senior software engineers with strong Python expertise who enjoy writing high-quality code, reviewing technical solutions, and working on AI-related projects. What You ...
Quick apply
This opportunity is ideal for senior software engineers with strong Python expertise who enjoy writing high-quality code, reviewing technical solutions, and working on AI-related projects. What You ...
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Primary skill Python, Google Agentic Development Kit (ADK) Having Good experience in Python Google ADK skill , Experienced in developing AI agents that integrate tools, coordinate multiple ...
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Quick apply
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New
Senior Python Engineer - PricingCenter
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New
Python Ai information
See Ontario salary details
$38K - $54K
20% of jobs
$54K - $70K
2% of jobs
$84.7K is the 25th percentile. Wages below this are outliers.
$70K - $86K
3% of jobs
$86K - $102K
5% of jobs
$102K - $118K
8% of jobs
$118K - $134K
11% of jobs
The median wage is $134.8K / yr.
$134K - $150K
11% of jobs
$150K - $166K
11% of jobs
$171.7K is the 75th percentile. Wages above this are outliers.
$166K - $182K
13% of jobs
$182K - $198K
9% of jobs
$198K - $214K
7% of jobs
$38K
$129.4K
$214K
How much do python ai jobs pay per year?
Which 3 jobs will survive AI?
What is a Python AI job?
A Python AI job involves developing, implementing, and optimizing artificial intelligence models using Python. Professionals in this role work with machine learning frameworks like TensorFlow, PyTorch, and scikit-learn to build automation, predictive analytics, and AI-driven solutions. Responsibilities may include data preprocessing, model training, fine-tuning algorithms, and deploying AI models into production. These roles are common in industries like healthcare, finance, and tech, where AI is used for tasks such as natural language processing, computer vision, and recommendation systems.
What is the salary of AI with Python?
What are the key skills and qualifications needed to thrive in the Python Ai position, and why are they important?
To thrive as a Python AI professional, you need strong programming skills in Python, a solid understanding of machine learning algorithms, data structures, and often a degree in computer science or a related field. Proficiency with libraries like TensorFlow, PyTorch, scikit-learn, and experience using version control systems such as Git are typically required, while certifications in AI or data science can be advantageous. Analytical thinking, problem-solving abilities, and effective communication skills help you interpret results and collaborate with multidisciplinary teams. These competencies enable the development, deployment, and optimization of AI-driven solutions in a fast-evolving technical landscape.
What is a $900000 AI job?
What are the typical daily responsibilities of a Python AI professional?
As a Python AI professional, your day-to-day responsibilities usually involve designing, developing, and testing machine learning models, cleaning and analyzing data, and implementing data pipelines. You’ll likely collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into real-world applications. Regular tasks also include code review, documentation, and participating in team meetings to review progress and brainstorm solutions to technical challenges. These activities not only foster collaboration but also ensure high-quality, scalable AI products.
Can you do AI with Python?

Job description
Job Description
WHAT IS THE OPPORTUNITY?
We are looking for a Data Engineering Tools Developer to build internal tools, frameworks, and developer utilities that improve the productivity and reliability of our Data Engineering teams. This role focuses on developing Python-based frameworks, Streamlit applications, and reusable engineering tools that enable faster development, monitoring, and governance of enterprise data pipelines. You will work closely with data engineers, platform engineers, and data architects to standardize how data pipelines are built, tested, deployed, and monitored across the organization. The ideal candidate combines strong Python development skills with experience in data engineering environments and enjoys building platforms and tools that empower other engineers
WHAT WILL YOU DO?
Design and build internal tools and frameworks that accelerate data pipeline development and deployment.
Develop Python libraries and reusable components for data ingestion, transformation, testing, and monitoring.
Build interactive developer tools and dashboards using Streamlit to simplify pipeline monitoring, troubleshooting, and data exploration.
Create frameworks for data validation, schema enforcement, and automated pipeline testing.
Develop utilities that improve data pipeline observability, logging, and operational support.
Collaborate with data engineers to standardize pipeline development patterns and best practices.
Integrate tools with data orchestration platforms, CI/CD pipelines, and cloud data platforms.
Build automation for data platform operations, metadata management, and pipeline governance.
Support the adoption of data engineering best practices and engineering standards across the organization.
Troubleshoot and optimize tools to ensure performance, scalability, and reliability in production environments.
WHAT DO YOU NEED TO SUCCEED?
Must have:
Bachelor's degree in Computer Science, Software Engineering, or related technical field.
4-7 years of experience in software engineering or data engineering roles.
Strong proficiency in Python development.
Experience building data pipelines and data processing frameworks.
Experience developing internal engineering tools or reusable libraries.
Experience with Streamlit or similar frameworks for building data tools and dashboards.
Strong knowledge of SQL and working with large datasets.
Experience with source control (Git), testing frameworks, and CI/CD pipelines.
Experience working in Agile engineering environments.
Nice-to-have:
Experience with data orchestration tools such as Apache Airflow, Prefect, or Dagster.
Familiarity with modern data platforms such as Snowflake, Databricks, or cloud data lakes.
Experience with data transformation frameworks such as dbt.
Knowledge of data quality and data governance tooling.
Experience working in financial services or banking environments.
Familiarity with containerization technologies such as Docker.
Design & Develop AI engineering using Cortex.
What's in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
Leaders who support your development through coaching and managing opportunities
Ability to make a difference and lasting impact
Work in a dynamic, collaborative, progressive, and high-performing team
A world-class training program in financial services
Flexible work/life balance options
Opportunities to do challenging work
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Job Skills
Application Development, Application Integrations, Application Maintenance, Applications Architecture, Detail-Oriented, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC), System ApplicationsAdditional Job Details
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Our Employment Opportunities
At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.
Employment Type: FULL_TIMEAbout Royal Bank of Canada
Sourced by ZipRecruiter
Industry
Banking and credit intermediation
Company size
10,000+ Employees
Headquarters location
Toronto, Ontario, CA