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Gis Python Developer Remote Jobs in Toronto, ON (NOW HIRING)

AI Developer (REMOTE)

Toronto, ON · On-site +1

CA$84K - CA$146K/yr

We are currently seeking a AI Developer (REMOTE) to join our team! This is a fully remote role and ... Develop AI-powered applications and intelligent agent solutions using Python and modern AI ...

AI Developer (REMOTE)

Toronto, ON · On-site +1

CA$84K - CA$146K/yr

We are currently seeking a AI Developer (REMOTE) to join our team! This is a fully remote role and ... Develop AI-powered applications and intelligent agent solutions using Python and modern AI ...

Senior Software Developer (Remote)

Toronto, ON · Remote

CA$110K - CA$145K/yr

Python and supporting libraries, Angular. * Infrastructure: Cloud systems (AWS), ArgoCD , SNS, SQS ... Full-Stack Programming Polyglot: Advanced proficiency in modern languages like Python and ...

New

OVERVIEW We are seeking a Senior Backend Engineer with strong expertise in Python and API ... Contract : 9-12 months, potential to extend / convert Fully remote but must be able to come into ...

OVERVIEW We are seeking a Senior Backend Engineer with strong expertise in Python and API ... Contract : 9-12 months, potential to extend / convert Fully remote but must be able to come into ...

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Showing results 1-20

Gis Python Developer Remote information

What are the key skills and qualifications needed to thrive as a GIS Python Developer (Remote), and why are they important?

To thrive as a GIS Python Developer working remotely, you need strong proficiency in GIS concepts, spatial data analysis, Python programming, and a relevant degree in geography, computer science, or a related field. Familiarity with tools such as ArcGIS, QGIS, GDAL/OGR, and libraries like GeoPandas and Shapely, along with experience using version control systems like Git, is typically required. Excellent problem-solving, communication, and self-motivation are crucial soft skills for collaborating with distributed teams and managing projects independently. These skills and qualities are vital for delivering accurate geospatial solutions, ensuring effective teamwork, and adapting to a remote work environment.

What are some common challenges faced by remote GIS Python Developers, and how can they be effectively addressed?

Remote GIS Python Developers often encounter challenges such as collaborating across time zones, accessing large spatial datasets, and integrating with diverse geospatial systems. Effective communication with team members using collaboration tools, establishing clear version control practices, and leveraging cloud-based geospatial platforms can help address these hurdles. Additionally, regularly participating in virtual meetings and code reviews fosters alignment and knowledge sharing among distributed teams.

What is a GIS Python Developer (Remote)?

A GIS Python Developer (Remote) is a software developer who specializes in using the Python programming language to work with Geographic Information Systems (GIS) while working from a remote location. Their primary responsibilities include creating, maintaining, and optimizing geospatial data processing applications, automating GIS workflows, and integrating spatial data with various software platforms. They often use libraries like ArcPy, GeoPandas, and GDAL, and collaborate with teams on mapping, analysis, and visualization projects. Remote GIS Python Developers need strong programming and GIS skills, as well as the ability to communicate and manage projects virtually.

What is the difference between Gis Python Developer Remote vs GIS Analyst?

AspectGis Python Developer RemoteGIS Analyst
Required CredentialsBachelor's in GIS, Computer Science, or related field; Python programming skillsBachelor's in Geography, GIS, or related field; GIS software proficiency
Work EnvironmentRemote, often collaborative with development teamsOn-site or remote, focused on data analysis and mapping
Industry UsageTech, environmental, urban planning companiesGovernment agencies, consulting firms, environmental organizations
Common Search/ComparisonYesNo

Gis Python Developers remote focus on coding, software development, and automation using Python, often working on GIS applications. In contrast, GIS Analysts primarily analyze spatial data and create maps. While both roles require GIS knowledge, the developer role emphasizes programming skills and software creation, whereas the analyst role centers on data interpretation and reporting.

What are popular job titles related to Gis Python Developer Remote jobs in Toronto, ON? For Gis Python Developer Remote jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Gis Python Developer Remote jobs in Toronto, ON look for? The top searched job categories for Gis Python Developer Remote jobs in Toronto, ON are:
Infographic showing various Gis Python Developer Remote job openings in Toronto, ON as of May 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.
AI Developer (REMOTE)

AI Developer (REMOTE)

NTT DATA Services

Toronto, ON • On-site, Remote

CA$84K - CA$146K/yr

Other

Posted 10 days ago


NTT Data rating

7.3

Company rating: 7.3 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

106th of 203 rated it services


Job description

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a AI Developer (REMOTE) to join our team!  This is a fully remote role and can be based anywhere in Canada.  

Job Responsibilities Include: 

  • Design and architect AI agents by defining workflows, objectives, reasoning logic, and decision-making processes.
  • Develop AI-powered applications and intelligent agent solutions using Python and modern AI frameworks such as LangChain, LlamaIndex, and OpenAI SDK.
  • Evaluate and select appropriate Large Language Models (LLMs) based on business use cases, scalability, latency, and performance requirements.
  • Engineer, test, and optimize prompts to improve response accuracy, consistency, contextual relevance, and token efficiency.
  • Build and implement Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge sources.
  • Integrate external APIs, databases, enterprise applications, and third-party tools into AI agent pipelines.
  • Develop scalable backend AI services and APIs using Python frameworks such as FastAPI and Flask.
  • Create automated test cases and validation frameworks to evaluate AI outputs for reliability, bias, hallucinations, and performance.
  • Monitor and optimize AI model performance including latency, throughput, token consumption, and infrastructure costs.
  • Implement AI governance, security controls, data privacy, guardrails, and compliance standards across AI platforms.
  • Collaborate with cross-functional teams including Data Engineering, DevOps, Product Management, and Security teams to deliver enterprise AI solutions.
  • Participate in Agile/Scrum ceremonies including sprint planning, stand-ups, backlog grooming, demos, and retrospectives.

Basic Qualifications:

  • Minimum 5+ years of experience in software development with strong expertise in Python programming.
  • Minimum 3+ years of experience developing AI/ML or Generative AI applications using Large Language Models (LLMs).
  • Minimum 2+ years of hands-on experience with AI orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar tools.
  • Minimum 3+ years of experience designing and consuming RESTful APIs and integrating third-party services.
  • Strong experience with prompt engineering, prompt tuning, and AI response optimization techniques.
  • Hands-on experience implementing Retrieval-Augmented Generation (RAG) architectures and vector database integrations.
  • Experience deploying scalable AI services using FastAPI, Flask, or similar Python-based frameworks.
  • Strong understanding of AI model evaluation, testing methodologies, bias detection, and quality assurance practices.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud for AI solution deployment and monitoring.
  • Knowledge of data privacy, AI security, governance frameworks, and responsible AI best practices.
  • Strong skills in SQL, JSON, API authentication mechanisms (OAuth, API Keys), and data integration patterns.
  • Experience working in Agile development environments with cross-functional engineering teams.

Degree:  Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or equivalent work experience.

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $84,360.00-$146,520.00 .  This range reflects the minimum and maximum target compensation for the position across all Canada locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.  

#INDFSINS

#L1-NorthAmerica

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.


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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967