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Top AI & Machine Learning Jobs in Calgary, AB
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Build and scale first-line risk control performance monitoring for financial products. Develop metrics, key risk indicators, statistical baselines, thresholds, automated workflows, and reusable analytical modules. Partner with risk, compliance, product, and engineering teams to improve governance, identify monitoring gaps, evaluate control effectiveness, and support decisions. Lead ambiguous initiatives from definition through adoption while communicating findings, limitations, and recommendations to technical and executive stakeholders.
Top Skills:
BigQueryGitLlmsMatplotlibPlotlyPythonSnowflakeSQL
Reposted 14 Days AgoSaved
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Graduate research interns will own end-to-end projects developing customer world models and proactive intelligence. Work spans representation learning, foundation models, reinforcement learning, agentic decision systems, and evaluation. Tasks include designing methods, running experiments, publishing findings, and potentially shipping models into production to impact customer-facing products.
Top Skills:
Deep LearningFoundation ModelsJaxPythonPyTorchReinforcement Learning
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Build infrastructure and tooling for AI evaluations, including distributed scoring engines, task-set validation, grader systems, human-review calibration, statistical leaderboards, online feedback capture, and offline-to-online evaluation loops. Partner with product, engineering, data, and ML teams to deliver reliable, observable evaluation workflows that support faster and more trustworthy AI product development.
Top Skills:
CiData PipelinesDistributed SystemsLlmMachine Learning
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Build and deploy agentic and generative AI copilot and autopilot systems for risk and compliance automation. Own end-to-end ML systems, including data integrations, prompt tuning, orchestration, evaluation, productionization, monitoring, and transformer-based model development. Collaborate with product, engineering, platform, and operations teams to improve fraud detection and analyst productivity. Drive strategic roadmaps and cross-functional programs with significant business impact.
Top Skills:
Amazon Web Services (Aws)Apache AirflowClaude CodeCodexGoogle Cloud Platform (Gcp)Large Language Models (Llms)Natural Language Processing (Nlp)OpenclawPythonPyTorchSnowflake
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