Software Engineer AI/ ML- Co-Op (PEY/ Masters)

at  Seismic

Toronto, ON, Canada -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate30 Dec, 2024Not Specified02 Oct, 2024N/AAmerican Express,Salesforce,Google,Adobe,Microsoft,Ibm,EnablementNoNo
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Description:

Please be aware we have noticed an increase in hiring scams potentially targeting Seismic candidates. Read our full statement on our Career’s page.

SEISMIC IS COMMITTED TO BUILDING AN INCLUSIVE WORKPLACE THAT IGNITES GROWTH FOR OUR EMPLOYEES AND CREATES A CULTURE OF BELONGING THAT ALLOWS ALL EMPLOYEES TO BE SEEN AND VALUED FOR WHO THEY ARE. LEARN MORE ABOUT DEI AT SEISMIC HERE.

Please note- This posting is for students enrolled at UofT and eligible for a 12 month PEY/ ASIP eligible placement.
Seismic is looking for Machine Learning Engineer and Data Scientist co-op intern to join our Engineering team! If you’re working toward a career in building products in Machine Learning and AI software development post grad, Seismic has an opportunity to introduce you to the fast paced, innovative world of Enterprise SaaS product development. We pride ourselves on our knowledge sharing focused environment and work in highly collaborative and cross-functional teams. In partnership with your mentor and team, you’ll be building solutions that will drive direct business impact and shape our long-term technical vision with a high-quality bar. We’re looking for hard-working individuals with an academic focus on Machine learning, Data Science and software engineering to join the Product & Engineering team for a PEY of 12 months starting this spring.

Responsibilities:

WHAT YOU’LL DO:

  • Develop, deploy and optimize models to enable AI capabilities and improve user experience
  • Collaborate with a team of Machine learning, software and product experts to bring your model from idea to the product through micro-service-based systems
  • Work in an Enterprise SaaS platform in an Agile, cloud-based environment, and follow and ensure best engineering practices
  • Utilize and be exposed to wide range of cutting edge technologies:
  • Front end: React, Typescripts, Graph QL, JavaScript
  • Back End: C#/.NET, Python, Kubernetes, Docker, Apache Kafka
  • Cloud: Azure, AWS, Google Cloud, IBM
  • DevOps: Terraform, Kubernetes, Ansible, Jenkins, Python
  • AI/ML: LLMs (Azure, Google, etc.), Vertext AI, Azure AI, IBM watsonx, huggingface, open source models


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Computer Software/Engineering

IT Software - Application Programming / Maintenance

Software Engineering

Graduate

Proficient

1

Toronto, ON, Canada