VRIFY is positioned at the forefront of the mining industry's transformation, leveraging cutting-edge AI to revolutionize mineral exploration. With a focus on AI drill targeting, VRIFY is expanding its capabilities by synthesizing vast amounts of geological information. This integration enhances the precision and efficiency of exploration strategies, offering our clients innovative solutions that depart from traditional methods. VRIFY is seeking an experienced Senior Data System Developer to implement and optimize our geospatial data infrastructure and processing systems under the guidance of our Data Architect. This critical role will translate architectural vision into production-ready systems, focusing on building robust, scalable data pipelines that transform complex geological and geospatial data into valuable analytical assets. You will work closely with our Data Architect to implement data blueprints and standards while collaborating with machine learning engineers and geoscience teams to create efficient data workflows that enable advanced geospatial analytics. As a Senior Data System Developer, you'll be instrumental in bringing the Data Architect's designs to life through the implementation of modern geospatial data standards, technologies, and processing frameworks. Your expertise in implementing high-performance geospatial data pipelines, spatial data catalogs, and specialized earth observation data formats will be essential in building the foundation for our geospatial AI capabilities. Key Responsibilities: Geospatial Data Pipeline Development & Optimization

*   Implement and maintain scalable ETL/ELT pipelines for processing complex geological and earth observation datasets
*   Build robust data workflows for standardizing and cataloging geospatial data using industry standards like STAC (SpatioTemporal Asset Catalog)
*   Develop processing systems for cloud-optimized geospatial formats including GeoParquet, Zarr, Cloud-Optimized GeoTIFF (COG), and GeoJSON
*   Implement spatial indexing and tiling strategies for efficient geospatial data access and processing
*   Create data transformation processes for generating ML-ready geospatial training data
*   Optimize geospatial query performance across distributed datasets
*   Geospatial Data Infrastructure & Systems
*   Implement cloud-based geospatial data infrastructure on AWS according to the Data Architect's guidelines
*   Deploy and configure STAC API services and metadata catalogs for geospatial asset discovery
*   Implement data lakes optimized for large-scale geospatial data using columnar and chunked storage formats
*   Configure specialized geospatial databases and services (PostGIS, PgSTAC, GDAL-based systems)
*   Set up distributed processing frameworks for parallel geospatial analytics
*   Establish monitoring and performance metrics for geospatial data systems
*   Data Integration & Spatial APIs
*   Build data integration frameworks connecting various geological, geophysical, and remote sensing data sources
*   Implement OGC-compliant web services and APIs for standardized geospatial data access
*   Develop systems to harmonize data from different coordinate reference systems and projections
*   Create interfaces between geological databases, GIS systems (ArcGIS, QGIS), and analytics platforms
*   Implement vector and raster tile services for web-based visualization
*   Develop automated data ingestion processes for diverse geological and earth observation data formats

Technical Implementation & Support

*   Implement Data System Developing solutions based on the Data Architect's blueprints and reference models
*   Provide technical feedback to the Data Architect on implementation challenges and opportunities
*   Document implemented data flows and prepare technical documentation
*   Support the Data Architect in technology selection and proof-of-concept development
*   Ensure implemented solutions conform to established data governance standards
*   Identify and address technical debt in existing data systems
*   Cross-team Collaboration
*   Work closely with the Data Architect to implement architectural designs and patterns
*   Collaborate with ML engineers to implement geospatial feature stores and training data pipelines
*   Partner with geospatial scientists to understand specialized data requirements
*   Support cloud platform engineers with infrastructure optimization for geospatial workloads
*   Assist data scientists with efficient access to geospatial datasets for analytics
*   Participate in agile development processes and sprint planning

**Required Qualifications**

*   Bachelor’s degree in computer science, Software Engineering, GIS, or related technical field
*   7+ years of experience in Data System Developing, with at least 3 years focusing on geospatial data systems
*   Strong expertise in implementing geospatial data pipelines and processing workflows
*   Experience with cloud-optimized geospatial formats (GeoParquet, Zarr, COG, STAC)
*   Proficiency in geospatial libraries and tools (GDAL/OGR, Rasterio, GeoPandas, PySTAC)
*   Extensive experience with AWS geospatial data services and storage solutions
*   Knowledge of OGC standards and spatial web services
*   Experience with workflow orchestration tools (Airflow, Step Functions, etc.)
*   Understanding of coordinate reference systems, projections, and geospatial operations
*   Ability to work effectively with Data Architects to implement technical solutions

Technical Skills

*   Geospatial Technologies: STAC, GeoParquet, Zarr, Cloud-Optimized GeoTIFF (COG), GeoJSON
*   Geospatial Libraries: GDAL/OGR, Rasterio, GeoPandas, PySTAC, Xarray
*   Programming & Scripting: Advanced Python, SQL, Geospatial Python ecosystems
*   Data Processing: Apache Spark, AWS Glue, Dask, Pangeo
*   Spatial Databases: PostgreSQL/PostGIS, PgSTAC
*   Workflow Orchestration: Apache Airflow, AWS Step Functions
*   Cloud Platforms: AWS geospatial services, Earth Observation with AWS
*   Containerization: Docker, Kubernetes
*   Infrastructure as Code: Terraform, CloudFormation
*   CI/CD: GitHub Actions, Jenkins
*   Monitoring: Prometheus, CloudWatch

**Additional Skills**

*   Implementer who excels at translating architectural designs into functional systems
*   Problem solver who thrives on building efficient, scalable geospatial data solutions
*   Detail-oriented professional with a focus on data quality and spatial accuracy
*   Collaborative team player who works effectively with architects and technical teams
*   Self-motivated learner who stays current with emerging geospatial technologies
*   Practical engineer who balances technical excellence with pragmatic solutions
*   Resilient troubleshooter who can diagnose and resolve complex geospatial data issues

What We Offer:

*   Health Benefits: Extensive coverage, medical, dental, and vision plans.
*   Paid Time Off (PTO): Including vacation days, sick/personal care days, public holidays plus extra time during the holiday season.
*   Work-Life Balance: Flexible work hours, remote work options plus an option to use workspace in Downtown Vancouver.
*   Professional Development: Career growth program to help our team advance their careers.
*   Performance Bonuses
*   Wellness Programs: Fitness allowance, work-from-home allowance, mental health support.
*   Retirement Plan (RRSP/DPSP)

Terms of employment:

*   Full-time, Permanent, Remote work in Canada.
*   Completion of a background check will be required for this position.
*   Must be legally entitled to work in Canada.

This job description has been written to provide an accurate reflection of the current job and to include the general nature of work performed. It is not designed to contain a comprehensive detailed inventory of all duties, responsibilities, and qualifications required of the employees assigned to the job. Management reserves the right to revise the job or require that other or different tasks be performed when circumstances change. We strive to create an environment where every employee feels valued, respected, and empowered regardless of their race, gender, age, religion, identity, or experience. We understand that unique perspectives and backgrounds bring invaluable insights and contribute to the richness of our culture and the effectiveness of our solutions. If you have a disability or any special needs that we might need to accommodate, please let us know.

Senior Data System Developer

**Description** Are you looking for an opportunity to enhance the product displays across the Amazon store through a highly available, large scale, store-wide software solution? Does it excite you to find patterns and build generic, composable software solutions to solve complex problems? Are you looking for inventing newer and simpler ways of building solutions? If so, we are looking for you to fill a challenging position. We are the one stop shop for all shopping experience building product displays. Through our highly available Tier-1 services we provide the building blocks for Product displays that enable our experience owners to perform at scale. We power experiences like Search, Personalization, Cart and Checkout across all platforms including Amazon.com, and mobile. As an SDE II on our team, you will design and build software that is highly available, performant, scalable, and extensible. You will own the software development process end to end and be responsible for design, implementation, testing and operations. This position requires that you are a significant and autonomous contributor. Your work is consistently high quality. You solve complex problems, applying appropriate technologies and best practices. Your focus is on designing, developing and effectively applying automated solutions that test major portions of software (e.g., significant component, set of features, mid-size application, service, etc.). You prevent and find defects early. You apply software testing techniques, such as boundary value testing, etc. You build complete test and/or measurement solutions (e.g., performance, load, scalability, usability, etc.) You use data from testing, deployment, and production to measure quality and provide actionable improvement to the product. You write code that an SDE unfamiliar with the system can understand. You are proficient in a broad range of design approaches and know when it is appropriate to make trade-offs. Your solutions are pragmatic. You do things with the proper level of complexity the first time (or at least minimize incidental complexity). You consider the legacy of the code you produce, limiting the use of short-term workarounds. You create flexible software without over-engineering. You re-use where possible, while being judicious about introducing dependencies. You are efficient with resource usage (e.g., designing to avoid impacting the system under test.) This is an exciting opportunity for a seasoned engineer. In this position, you will play a leading role in the architecture, design, implementation and deployment of large-scale and complex applications. You will push your design and architecture limits by inventing and simplifying complex problems. You have strong verbal and written communication skills, are self-driven, and can deliver high quality results in a fast-paced environment. You will work with Amazon engineering and business teams across the globe in planning, designing, executing and implementing this new platform. The ideal candidate is motivated and self-directed professional with a demonstrated track record of thriving in dynamic environments, proficiently delivering extensive systems. A dedicated learner with a passion for tackling new challenges and resolving customer issues. Key job responsibilities

*   5+ years of professional full-stack development.
*   Ability to rapidly prototype and adjust in response to customer feedback.
*   Experience building front-end features that have been successfully delivered to customers for mobile applications.
*   Proficient in a broad range of software design approaches and common UX patterns. Knows when (and when not) to use front-end software design patterns.
*   Can articulate the risks and benefits of depending on front-end libraries, frameworks, and toolsets.
*   Able to dive into the source code of front end libraries to debug, patch, and extend them when necessary.
*   Proficient in view layout and rendering technologies (e.g., responsiveness, progressive enhancement, browser/device support).
*   Ability to communicate effectively with both technical and non-technical individuals.
*   Meets/exceeds Amazon’s leadership principles requirements for this role
*   Meets/exceeds Amazon’s functional/technical depth and complexity for this role

**Basic Qualifications**

*   3+ years of non-internship professional software development experience
*   2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
*   Experience programming with at least one software programming language

**Preferred Qualifications**

*   3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
*   Bachelor's degree in computer science or equivalent

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary for this position ranges from $114,800/year up to $191,800/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site. **Company** - Amazon Development Centre Canada ULC - K03 Job ID: A2946377

Software Development Engineer, Product UI

**Role: AI DeveloperLocation: Vancouver, BC (REMOTE)Type: ContractKey Responsibilities:AI Development**

*   Design and implement AI applications, including **Copilot agents** and **intelligent automation tools**.
*   Collaborate with cross-functional teams to integrate AI into business processes.
*   Build and maintain ML models using **PyTorch**, **TensorFlow**, or **scikit-learn**.
*   Stay updated with emerging AI trends, ensuring **ethical and compliant AI practices**.
*   Develop **custom Figma plugins** to enhance design-to-development workflows.
*   Build tools to allow designers to push assets and structured content from **Figma to AEM**.

**Azure DevOps Management**

*   Administer and support **Azure DevOps (ADO)** environments: pipelines, repositories, boards, and dashboards.
*   Ensure consistent DevOps practices across teams and assist in **workflow alignment**.

**Technical Program Management**

*   Create and maintain **process maps** for current and future-state workflows.
*   Identify and address **process gaps** and tooling enhancements.
*   Collaborate with operations teams to drive and implement **workflow improvements**.
*   Document tools and processes to support **team onboarding and alignment**.
*   Lead **special projects** and contribute to **cross-functional initiatives**.

**Required Qualifications:**

*   8–10 years of experience in AI development, DevOps, and technical program management.
*   Proficient in **AI-focused programming languages** like **Python** or **Java**.
*   Experience building ML solutions with **scikit-learn**, **TensorFlow**, or **PyTorch**.
*   Strong command of **JavaScript/TypeScript** and **Figma Plugin API**.
*   Solid knowledge of **Adobe Experience Manager (AEM)** and its APIs.
*   Experience working with **RESTful APIs** and **JSON** data structures.
*   Hands-on experience with **Azure DevOps** and exposure to **cloud platforms** (Azure preferred).
*   Experience with **process mapping**, data collection, and analysis.
*   Strong **communication skills** and exceptional **attention to detail**.
*   Demonstrated **self-starter mindset** with the ability to thrive in **ambiguous** and fast-paced environments.
*   Strong foundation in **mathematics, statistics, and algorithms**.

Artificial Intelligence Engineer

**Job Requisition ID #** 25WD85985 _French job description to follow!/La description de poste en français se trouve plus bas!_ **Position Overview** As an Applied AI Research Scientist at Autodesk Research, you will be doing applied research that will help our customers imagine, design, and make a better world. We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction. This role will report to a Manager of Research Science in the AI Lab. **Responsibilities**

*   Develop new ML models and AI techniques
*   Lead on research projects within a global team
*   Review relevant AI/ML literature to identify emerging methods, technologies, and best practices
*   Explore new data sources and discover techniques for best leveraging data

**Minimum Qualifications**

*   A Master's or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines
*   Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, and deploying production-ready solutions)
*   Familiarity in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.)
*   Familiarity with PyTorch, TensorFlow, JAX or similar frameworks
*   Strong coding abilities in Python

**Preferred Qualifications**

*   Experience in the Architecture, Engineering, and/or Construction domains, including expertise with industry-specific data formats (e.g., BIM models, IFC files, AEC Contract Documents and Drawings such as Drawing Sets, Specifications, or Shop Drawings)
*   Knowledge of structured data representation and management in AEC workflows (building information modeling, structural specifications, project documentation)
*   2D & 3D Generative AI
*   LLMs and Natural Language Processing
*   Multi-modal deep learning and/or information retrieval
*   Computational geometry and geometric methods (e.g. shape analysis, topology, differential geometry, discrete geometry, functional mapping, geometric deep learning, graph neural networks)
*   Publication track record in machine learning conferences and/or journals
*   Significant post-graduate research experience, or 5 or greater years of work experience (actual job title/position will be commensurate to experience)

**Description Du Poste** En tant que chercheur en IA appliquée chez Autodesk Research, vous ferez de la recherche appliquée qui aidera nos clients à imaginer, concevoir et fabriquer un monde meilleur. Nous sommes une équipe de scientifiques, de chercheurs, d'ingénieurs et de concepteurs qui travaillent ensemble sur des projets allant des systèmes de conception basés sur l'apprentissage, à la vision par ordinateur, au graphisme, à la robotique, à l'interaction homme-machine, au développement durable, à la simulation, à la fabrication, à la conception architecturale et à la construction. Ce poste est placé sous l'autorité d'un responsable de la recherche scientifique au sein du laboratoire d'intelligence artificielle. **Responsabilités**

*   Développer de nouveaux modèles de ML et de nouvelles techniques d'IA
*   Diriger des projets de recherche au sein d'une équipe internationale
*   Examiner la documentation pertinente sur l'IA/ML afin d'identifier les méthodes, les technologies et les meilleures pratiques émergentes
*   Explorer de nouvelles sources de données et découvrir des techniques permettant d'exploiter au mieux les données

**Qualifications Minimales**

*   Master ou doctorat dans un domaine lié à l'IA/ML tel que : Informatique, mathématiques, statistiques, physique, linguistique, génie mécanique, architecture ou disciplines connexes
*   Solide expérience dans l'application des techniques de Deep Learning (y compris la mise en œuvre d'architectures personnalisées, l'optimisation des performances des modèles, le développement de nouvelles fonctions de perte et le déploiement de solutions prêtes à la production)
*   Familiarité avec les méthodes statistiques pour l'apprentissage automatique (par exemple, méthodes bayésiennes, HMM, modèles graphiques, réduction de la dimension, clustering, classification, techniques de régression, etc.)
*   Familiarité avec PyTorch, TensorFlow, JAX ou des frameworks similaires
*   Solides capacités de codage en Python

**Qualifications Préférées**

*   Expérience dans les domaines de l'architecture, de l'ingénierie et/ou de la construction, y compris l'expertise avec les formats de données spécifiques à l'industrie (par exemple, les modèles BIM, les fichiers IFC, les documents contractuels AEC et les dessins tels que les jeux de dessins, les spécifications ou les dessins d'atelier)
*   Connaissance de la représentation et de la gestion des données structurées dans les flux de travail AEC (modélisation des données du bâtiment, spécifications structurelles, documentation du projet)
*   IA générative 2D et 3D
*   LLM et traitement du langage naturel
*   Apprentissage profond multimodal et/ou recherche d'informations
*   Géométrie informatique et méthodes géométriques (par exemple, analyse des formes, topologie, géométrie différentielle, géométrie discrète, cartographie fonctionnelle, apprentissage profond géométrique, réseaux neuronaux graphiques)
*   Expérience de publication dans des conférences et/ou des revues sur l'apprentissage automatique
*   Expérience significative en matière de recherche post-universitaire, ou 5 années ou plus d'expérience professionnelle (le titre du poste sera proportionnel à l'expérience)

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law. **Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers.**

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