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Python Programmer Jobs in Alberta (NOW HIRING)

We are seeking a skilled Release Engineer for an infrastructure initiative, migrating our ... Proficiency in Python (for development) and Groovy (for Jenkins DSL). * Container: Practical ...

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position ... Hands-on experience coding in Python would be a strong asset * Experience working with Business ...

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position ... Hands-on experience coding in Python would be a strong asset * Experience working with Business ...

Working within a microservices architecture built on Python, FastAPI, Kubernetes, and GCP, you will ... engineered outcomes. * Own the release management lifecycle by planning, scheduling, and ...

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position ... Hands-on experience coding in Python would be a strong asset * Experience working with Business ...

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position ... Hands-on experience coding in Python would be a strong asset * Experience working with Business ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... Hands-on experience coding in Python would be a strong asset * Experience working with Business ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... Hands-on experience coding in Python would be a strong asset * Experience working with Business ...

Design, develop, and maintain optimized, productiongrade data pipelines using Python and SQL ... Apply software engineering best practices, including version control, branching strategies, peer ...

Languages such as Java, C#, F#, C++, Python, and TypeScript * Frameworks, platforms, and runtimes ... Review code from other engineers with the same rigor you expect on your own work * Evaluate and ...

Design, develop, and maintain optimized, productiongrade data pipelines using Python and SQL ... Apply software engineering best practices, including version control, branching strategies, peer ...

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Python Programmer information

What Do Python Programmers Do?

A Python programmer uses the programming language called Python to write code for various applications, including big data manipulation, web servers, program scripting, and more. In this career, the software allows you to program quicker using fewer lines, which creates an easy-to-read code. You can find work in web or game development, data visualization, and analyzing data, among others. Your job duties vary based on your specialization, but they usually include working with files and extensive support libraries, creating, testing and implementing new or updated applications, and examining the code to spot problems.

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

To thrive as a Python Programmer, you need strong proficiency in Python programming, understanding of algorithms, and a background in computer science or related fields. Familiarity with development tools like Git, testing frameworks such as PyTest, and experience with libraries like Django or Flask are typically required. Problem-solving ability, attention to detail, and effective teamwork are standout soft skills for this role. These skills ensure the development of reliable, scalable software solutions and smooth collaboration within technical teams.

What are some common challenges Python Programmers face when working on large-scale projects, and how can they overcome them?

Python Programmers working on large-scale projects often encounter challenges such as managing code maintainability, optimizing performance, and coordinating with cross-functional teams. To address these, it’s essential to follow best practices like modular programming, using virtual environments, and employing version control systems such as Git. Regular code reviews and clear communication within the team help maintain code quality and ensure everyone is aligned. Leveraging frameworks and libraries effectively can also streamline development and reduce repetitive tasks.

What are Python Programmers?

Python Programmers are software developers who specialize in writing code using the Python programming language. They design, develop, and maintain applications or systems, often working on tasks such as web development, data analysis, machine learning, automation, and scripting. Python Programmers need strong problem-solving skills and a good understanding of programming concepts. They often collaborate with other developers, data scientists, and stakeholders to build efficient and scalable solutions.

Are Python programmers in demand?

Python programmers are in high demand across various industries due to the language's versatility, ease of learning, and widespread use in data analysis, web development, and automation. Employers seek professionals skilled in Python, often requiring knowledge of frameworks like Django or Flask and experience with libraries such as Pandas or NumPy. The demand is expected to grow as technology continues to evolve and data-driven decision-making becomes more prevalent.

What is the difference between Python Programmer vs Software Developer?

AspectPython ProgrammerSoftware Developer
Required CredentialsTypically a degree in Computer Science or related field; proficiency in PythonDegree in Computer Science or related; proficiency in multiple programming languages including Python
Work EnvironmentOften in tech companies, startups, or freelance projects focused on Python-based tasksIn various industries, working on full software solutions, often across multiple languages and platforms
Employer & Industry UsageTech firms, data analysis, automation projectsSoftware firms, IT departments, app development

While a Python Programmer specializes in Python coding, a Software Developer works on broader software solutions, often using multiple languages. Both roles require similar foundational skills, but Software Developers typically handle more comprehensive project responsibilities.

What are the most commonly searched types of Python Programmer jobs in Alberta? The most popular types of Python Programmer jobs in Alberta are:
What are popular job titles related to Python Programmer jobs in Alberta? For Python Programmer jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Python Programmer jobs in Alberta look for? The top searched job categories for Python Programmer jobs in Alberta are:
What are popular job titles related to Python Programmer jobs in AB? For Python Programmer jobs in AB, the most frequently searched job titles are:
Infographic showing various Python Programmer job openings in Alberta as of May 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution.

Lead ML Engineer - Cloud AI, MLOps & Agentic AI - AIRLHV

NavitasPartners

Calgary, AB • On-site, Remote

Other

Posted 8 days ago


Job description

Lead ML Engineer - Cloud AI, MLOps & Agentic AI 

Location: US / Canada (Remote/Hybrid) 
Type: Contract / Full-Time 

Overview: 

We are looking for a Lead ML Engineer to drive enterprise AI initiatives, focusing on MLOps, GenAI, and next-generation agentic AI systems in cloud environments. 

Key Responsibilities: 

  • Lead design and deployment of ML and GenAI solutions  
  • Build scalable MLOps pipelines and automation frameworks  
  • Collaborate with architects and engineering teams to deliver AI solutions  
  • Ensure governance, compliance, and responsible AI practices  

Required Skills: 

  • Extensive experience in ML/AI engineering and MLOps  
  • Strong programming skills (Python, PyTorch)  
  • Experience with cloud platforms (AWS, Azure, GCP)  
  • Proven experience in deploying scalable AI solutions  

Nice to Have / Coverage: 

  • Experience with agentic AI and GenAI frameworks (LangChain, LLM ecosystems)  
  • Exposure to data engineering tools (Databricks, Snowflake, BigQuery, Synapse)  
  • Familiarity with AI governance, compliance, and ethical AI frameworks  
  • Collaboration with cloud/data platform architects in enterprise environments 

For more details reach at resumes@navitassols.com.