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Quantitative developer Jobs in Dartmouth, NS

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Quantitative developer • dartmouth ns

Last updated: 16 hours ago

AI Platform Engineer with DevOps Experience

AcestackHalifax, NS, Canada
Full-timeFull-time
Quick Apply

Job Title:</b> AI Platform Engineer with DevOps Experience<br /> <b>Job Type:</b> Full Time<br /> <b>Location:</b> Halifax (Onsite 4 Days)</p> Job De... Show more

Senior Application Developer (Computer Services Officer 4)

The Government of Nova ScotiaHALIFAX, NS, CA
Temporary, PermanentTemporary, Permanent

Cyber Security & Digital Solutions.Nov-26 ​ (Applications are accepted until 11:59 PM Atlantic Time).Our mission is to redefine how Nova Scotians engage with government by creating accessible, ... Show more

 • New!

Lead Applied Scientist

AXIS CapitalNS, Halifax
CA$110,000.00–CA$130,000.00 yearlyCA$110,000.00–CA$130,000.00 yearly

This is your opportunity to join AXIS Capital – a trusted global provider of specialty lines insurance and reinsurance.We stand apart for our outstanding client service, intelligent risk taking and... Show more

AI Platform Engineer with DevOps Experience

Astra North Infoteck Inc.Halifax, NS, ca

AI Platform Engineer – DevOps, CI/CD, LLMOps & MLOps.Develop value-add services that integrate with the existing DevOps stack.Develop CI/CD pipelines using:.Coach application teams on leveragin... Show more

Salesforce Production Support Associate

NTT DATA ServicesHalifax, NS, CA

Salesforce Production Support Associate.Provide Level 1/2 production support for business-critical Salesforce applications and integrations, following ITIL-based incident, problem, and change manag... Show more

Software Developer

Salesboom.com IncHalifax, Nova Scotia, Canada
CA$40.50 hourlyCA$40.50 hourly

Software Developers who thrive on opportunity, challenges, and a vibrant work environment.We make CRM software easy and affordable by providing revolutionary technology & process once reserved only... Show more

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AI Platform Engineer with DevOps Experience

AI Platform Engineer with DevOps Experience

AcestackHalifax, NS, Canada
7 days ago
Job type
  • Full-time
  • Quick Apply
Job description

Job Title: AI Platform Engineer with DevOps Experience
Job Type: Full Time
Location: Halifax (Onsite 4 Days)

Job Description

We are seeking an experienced AI Platform Engineer with DevOps Experience to design, develop, and operate enterprise AI/GenAI platforms while enhancing DevOps services and automation capabilities. The ideal candidate will have strong software engineering skills, hands-on experience with CI/CD pipelines, and knowledge of LLMOps and MLOps frameworks for deploying and managing AI-powered applications.

Key Responsibilities

  • Develop value-added services that integrate with existing DevOps platforms and tools.
  • Design, develop, and maintain CI/CD pipelines using GitHub Actions, Jenkins, TypeScript, Python, and Groovy.
  • Design, build, and operate enterprise AI/GenAI platforms supporting Large Language Models (LLMs).
  • Develop scalable LLMOps and MLOps frameworks for model deployment, monitoring, versioning, evaluation, and governance.
  • Build reusable AI services to support enterprise application teams.
  • Coach application teams on DevOps tools, automation, and best practices.
  • Promote developer experience, engineering excellence, and continuous improvement.
  • Participate in proof of concepts (POCs), evaluate new tools, and recommend suitable technologies.
  • Enhance and evolve DevOps services to meet application team requirements.
  • Collaborate with cross-functional teams to deliver reliable, scalable, and production-ready solutions.

Required Skills

  • Strong software engineering experience across the software development lifecycle (SDLC).
  • Proficiency in one or more programming languages, including Java, Python, JavaScript/TypeScript, C#, or C/C++.
  • Strong experience with DevOps practices and CI/CD pipeline development.
  • Hands-on experience with GitHub Actions and Jenkins.
  • Experience with Docker or Kubernetes.
  • Knowledge of AI/GenAI platforms, LLMOps, and MLOps.
  • Understanding of application and system design patterns.
  • Experience working in Agile/Scrum environments.
  • Strong analytical, communication, ownership, and problem-solving skills.