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Data Ai Machine Learning

Chicago,IL

836 Data Ai Machine Learning jobs in Chicago,IL

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BMO Financial Logo

BMO Financial - Chicago, IL

Senior Data Scientist
OnsiteEducation AssistanceHealth InsuranceRetirement Benefit
New, Posted 6 hours ago
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Sr Data Architect - (Data&Analytics / Cloud/ AI)

BMO Financial

Naperville, IL 60540

New, Posted 3 hours ago
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Jobcase
Senior AI Platform Architect

Northwestern University

Evanston, IL 60208

$125,220-$165,000/yr
Flexible Schedule
seasoned.co
Shift Leader - $17.25/hr - Urgently Hiring

Potbelly - Warrenville Cantera

Warrenville, IL 60555

$17.25/hr
Flexible Schedule
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Member Service Representative

Greenstate Credit Union

Westmont, IL 60559

$19.47-$22.76/hr
~ 33 min OnsiteUrgently Hiring

  • High school diploma or the equivalent (i.e. GED).
  • Must be bondable.
  • Reports to work punctually, works all scheduled hours, and works overtime as necessitated by business demand.
SmartExplore AI is experimental.
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seasoned.co
Team Member - $15.25/hr - Urgently Hiring

Potbelly - Glenview

Glenview, IL 60026

$15.25/hr
Flexible Schedule
New, Posted just now
seasoned.co
Shift Leader - $17.25/hr - Urgently Hiring

Potbelly - Wheeling

Wheeling, IL 60090

$17.25/hr
Flexible Schedule
seasoned.co
Shift Leader - $17.25/hr - Urgently Hiring

Potbelly - Bolingbrook Weber Road

Bolingbrook, IL 60490

$17.25/hr
Flexible Schedule
New, Posted 6 hours ago
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Principal Engineer AI

BMO Financial

Chicago Heights, IL 60411

~ 42 min OnsiteBilingual PreferredEducation AssistanceHealth InsuranceRetirement Benefit

  • Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline (Master's preferred).
  • 8+ years of software/platform engineering experience (Principal), or 5+ years (Senior), with substantial time building and operating shared platform services at enterprise scale.
  • Demonstrated experience operating production infrastructure with real SLOs and on-call ownership, ideally in a regulated industry
  • Depth in one or more of: API gateways / traffic enforcement; policy-as-code and authorization; workload identity / zero-trust; observability and telemetry pipelines; audit/compliance data platforms.
  • Strong distributed-systems and platform-engineering fundamentals: latency-sensitive request paths, resilience patterns (circuit breakers, failover), multi-tenancy, and high availability.
  • Strong programming skills (Python and/or Go preferred; TypeScript/Java an asset) for building performant services, APIs, and integrations.
  • Cloud-native architecture across AWS and Azure : containers/Kubernetes, service mesh, and Infrastructure as Code (CDK, Terraform, CloudFormation/ARM).
  • Robust CI/CD, GitOps, and DevSecOps practice; Git-based workflows (Bitbucket/GitHub), Jira, Confluence.
  • Policy/Authorization: Cedar, OPA/Rego, policy compilation and distribution, risk-tiered approval workflows.
  • Identity/Zero-Trust: SPIFFE/SPIRE, token-exchange bridging, per-domain trust boundaries, Entra Agent ID integration, on-behalf-of identity propagation, cross-cloud token federation with zero-trust attestation.
  • Observability/Audit: OpenTelemetry (incl. GenAI conventions), distributed tracing, Dynatrace/Splunk or equivalents, tamper-evident/immutable audit stores, data lineage.
  • Gateway/Guardrails: API gateway internals, inline enforcement, LLM routing/abstraction, prompt-injection and PII defenses, hallucination detection, AI evaluation.
  • Registry/Portal: service catalogues, asset registries, lifecycle workflows, federation with external registries.
  • GenAI & Governance Context: Working knowledge of GenAI platform patterns: LLM/AI gateways, RAG and agentic patterns, foundation models, embeddings, and guardrails — sufficient to build the infrastructure they depend on.
  • GenAI & Governance Context: Familiarity with AI/ML platforms (Bedrock, Azure OpenAI, SageMaker, MLflow) and orchestration frameworks (LangChain, LlamaIndex).
  • GenAI & Governance Context: Grounding in Responsible AI, AI/data governance, privacy, cloud security, and IAM as applied to AI workloads.
  • Certifications (Preferred): AWS Certified Solutions Architect (Associate/Professional) / ML – Specialty
  • Certifications (Preferred): Microsoft Certified: Azure Solutions Architect Expert / Azure AI Engineer Associate
  • Certifications (Preferred): Security/identity certifications (relevant to Identity Fabric roles)
  • Certifications (Preferred): Databricks / Google Cloud ML credentials; relevant GenAI/LLM credentials
  • Participates in on-call rotation for owned services
SmartExplore AI is experimental.
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New, Posted 11 hours ago
Gopuff Delivery Partner (Multi-Modal)

goPuff

Chicago, IL 60609

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New, Posted 10 hours ago
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Retail Store Aassociate - Endzone & Loyalty (Front End)

Dick's Sporting Goods

Lombard, IL 60148

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