Computer Vision Jobs in Edmonton.
All active Computer Vision roles based in Edmonton.
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Senior Product Manager, Security
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The Security Product Management team is vital in safeguarding customer trust and making data security a market differentiator that enables MongoDB to succeed in enterprise and regulated industries. Our team's scope is broad and critical, covering a range of features, including Networking, IAM, Data Governance, Encryption, Compliance, and Auditing.
This role can be based out of our Toronto office or remotely in North America.
Responsibilities
- In this role, you will be a key member of security product management making data security a market differentiator that enables MongoDB to succeed in enterprise and regulated industries
- Build a vision for best-in-class data security features such as Resource Policies, Secure by Default at MongoDB, and other security and privacy features that minimize exposure to unauthorized access and risk of data loss.
- Partner with engineering to develop a prioritized product roadmap and backlog to execute against that vision.
- Deeply understand all aspects of the business - to ensure a business outcome aligned with our broader product, customer, and company goals
- Deepen our understanding of evolving threats and corresponding technologies in data security. Use customer inputs to serve as an expert and propose new innovations or best practices from the industry
- Partner with engineering, legal, research, product marketing, support, sales, and security teams to deepen customer trust as they use MongoDB for their most critical data workloads
- Define and implement key performance indicators (KPIs) and success metrics for security initiatives, ensuring alignment with business objectives and product goals
Requirements
- 5+ years of product management or equivalent experience in enterprise security or platforms
- Experience working with security focused engineers in a diverse team
- Domain expertise in data security
- Experience driving business results through influential leadership across multiple partner teams including engineering, sales, marketing, solution architects and customer success.
- Excellent written and verbal communication skills, including experience presenting to executive leadership
- Proven ability to define and deliver successful product strategies and roadmaps
- Demonstrated experience in defining technical product requirements into an actionable product roadmap
- Understanding of various public cloud providers such as AWS, Azure, and GCP
- Comfortable with stage presence and public speaking
- B.Sc. in Computer Science, or equivalent experience
Nice to have
- Certifications or similar evidence of professional milestone completion and continuous training (such as: CISSP, CompTia Security+, SANS, etc.)
- Community support and participation to advance data and cloud security such as conference or meetup panels and blog or paper authorship
- MBA, M.Sc.+ or equivalent in relevant domain
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 4263343037
AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward.
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.
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Apply to MongoDB
Generative AI Developer – Microsoft Azure AI Stack
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Embracing a growth mindset where curiosity thrives, we celebrate excellence and value individuals who inspire and mentor others, elevating the collective. Our driving force lies in personal and business growth. We go above and beyond to surprise and delight our clients, delivering tangible business value. In facing challenges, we make tough choices and solve complex problems to positively influence our clients, their customers, and the world at large.
As a Microsoft services partner, we hold ourselves to the highest standards of technical excellence. This commitment to quality is evident not only in our work but also in how we support and empower our employees. At Lantern, our culture mirrors our core values and unwavering dedication to realizing our purpose and vision, making it a dynamic and fulfilling workplace. Together, we transcend the ordinary and achieve extraordinary results.
Key Responsibilities
This role is ideal for a developer who thrives in a fast-paced environment and is passionate about building real-world applications with large language models (LLMs), agent-based workflows, and scalable AI infrastructure.
Skills, Knowledge and Expertise
• Develop and deploy Generative AI applications using:
• Azure OpenAI Service (GPT models, embeddings, fine-tuning)
• Azure AI Foundry for managing LLM lifecycle and deployment
• LangChain and LangGraph for orchestrating multi-agent and multi-step workflows
• RAG pipelines using Azure AI Search and vector databases
• AI agents and MCP servers for task automation and reasoning
• Implement prompt engineering strategies and optimize LLM interactions.
• Build APIs and microservices to integrate AI capabilities into enterprise applications.
• Collaborate with architects and client teams to understand requirements and deliver solutions.
• Ensure code quality, performance, and security in cloud-native environments.
• Stay up to date with the latest in generative AI frameworks, tools, and best practices.
Required Qualifications:
• Bachelor’s degree in Computer Science, Engineering, or related field.
• 3+ years of experience in software development, with a focus on AI/ML applications.
• Hands-on experience with Azure OpenAI, LangChain, and LangGraph.
• Solid understanding of LLM orchestration, agent frameworks, and RAG architectures.
• Proficiency in Python and experience with cloud-native development.
• Familiarity with Azure services such as Azure Functions, Azure AI Search, Azure Storage, and containerization (Docker/Kubernetes).
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What We Offer:
• Opportunity to build impactful generative AI solutions for enterprise clients.
• Access to exclusive Microsoft partner resources and training.
• A collaborative, innovative, and growth-oriented work environment.
• Competitive compensation and benefits.
• Career development in a rapidly evolving AI landscape.
Lantern is committed to fair and equitable compensation practices. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
Ready to apply?
Apply to LanternSenior Data & AI Consultant
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Embracing a growth mindset where curiosity thrives, we celebrate excellence and value individuals who inspire and mentor others, elevating the collective. Our driving force lies in personal and business growth. We go above and beyond to surprise and delight our clients, delivering tangible business value. In facing challenges, we make tough choices and solve complex problems to positively influence our clients, their customers, and the world at large.
As a Microsoft services partner, we hold ourselves to the highest standards of technical excellence. This commitment to quality is evident not only in our work but also in how we support and empower our employees. At Lantern, our culture mirrors our core values and unwavering dedication to realizing our purpose and vision, making it a dynamic and fulfilling workplace. Together, we transcend the ordinary and achieve extraordinary results.
Senior Data & AI Consultant
Position Summary
We are seeking a Senior Consultant for our Data & AI practice to lead transformative digital initiatives powered by the Microsoft ecosystem. This role is ideal for someone with deep expertise across Microsoft Fabric, Power BI, Azure Synapse, Data Factory, and Dataverse, who can translate complex data challenges into strategic business outcomes. You will architect and implement modern data platforms, guide clients on AI readiness, and mentor teams on leveraging the full Microsoft stack to enable advanced analytics, data governance, and intelligent automation.
Position Responsibilities
- Design and implement enterprise-grade data solutions using Microsoft Fabric, Azure Synapse Analytics, Data Factory, and Power BI, ensuring scalable, secure, and performant architectures.
- Develop robust ETL/ELT pipelines leveraging Dataflows, Notebooks, and Pipelines within Fabric, enabling unified data ingestion and transformation across diverse data sources.
- Build semantic data models and design data warehouses, lakes, and lakehouses for analytics, AI, and operational reporting.
- Deliver end-to-end Power BI solutions, from dataset modeling to DAX optimization and interactive visual storytelling.
- Provide strategic consulting on data modernization, AI enablement, and governance frameworks (e.g., Purview), aligning technical execution with business goals.
- Lead and mentor cross-functional teams, promoting best practices in data engineering, solution architecture, and Microsoft platform adoption.
- Act as a subject matter expert on the Microsoft Cloud Data Platform, staying current with updates across Fabric, Power BI, Synapse, and Azure OpenAI.
Qualifications
- Bachelor’s degree in Computer Science, Data Engineering, or a related discipline.
- 4+ years hands-on experience with the Microsoft Data & AI stack (Fabric, Power BI, Azure Data Factory, Synapse, SQL, Dataverse).
- Proven success designing and delivering modern data platforms within Microsoft environments, integrating structured and unstructured data for analytics and AI.
- Expertise in DAX, Power Query (M), T-SQL, and Python for advanced data modeling and transformation.
- Familiarity with Fabric’s OneLake, Data Activator, and Copilot integrations for automating data insights.
- Experience implementing data governance and security via Microsoft Purview and Entra ID (Azure AD).
- Excellent communication and presentation skills, capable of translating technical concepts for non-technical audiences.
Preferred Qualifications
- Microsoft Certified: Fabric Analytics Engineer Associate
- Microsoft Certified: Azure Data Engineer Associate
- Microsoft Certified: Power BI Data Analyst Associate
Benefits
- A culture that both wows our customers and employees;
- Variety of challenging projects, and the ability to work with leading-edge technologies;
- Competitive salary & group benefits;
- Generous training and education opportunities;
- Diverse team social events;
- Be part of a team that believes in diversity, inclusion, and a fun atmosphere!
Lantern is committed to fair and equitable compensation practices. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
Ready to apply?
Apply to LanternSolution Architect – Generative AI (Azure AI Stack)
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Embracing a growth mindset where curiosity thrives, we celebrate excellence and value individuals who inspire and mentor others, elevating the collective. Our driving force lies in personal and business growth. We go above and beyond to surprise and delight our clients, delivering tangible business value. In facing challenges, we make tough choices and solve complex problems to positively influence our clients, their customers, and the world at large.
As a Microsoft services partner, we hold ourselves to the highest standards of technical excellence. This commitment to quality is evident not only in our work but also in how we support and empower our employees. At Lantern, our culture mirrors our core values and unwavering dedication to realizing our purpose and vision, making it a dynamic and fulfilling workplace. Together, we transcend the ordinary and achieve extraordinary results.
Key Responsibilities
This role is ideal for someone passionate about transforming business processes through large language models (LLMs), multi-agent orchestration, and scalable AI infrastructure.
Skills, Knowledge and Expertise
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of experience in cloud solution architecture, with a strong focus on generative AI.
• Hands-on experience with Azure OpenAI, LangChain, and LangGraph.
• Deep understanding of LLM orchestration, agent frameworks, and RAG architectures.
• Proficiency in Python and experience with cloud-native development.
• Familiarity with Azure services such as Azure AI Foundry, Azure Functions, Azure AI Search, Azure Storage, and containers in Azure.
• Strong communication and stakeholder engagement skills.
Preferred Skills
•Experience with Azure AI Foundry or similar enterprise LLM lifecycle platforms.
• Microsoft certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert).
• Experience with MLOps, CI/CD for AI workloads, and responsible AI practices.
• Familiarity with Semantic Kernel, or other orchestration frameworks.
Lantern is committed to fair and equitable compensation practices. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
Ready to apply?
Apply to Lantern