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Software Engineer
Software EngineerInsight Global • Vancouver, Metro Vancouver Regional District, CA
Software Engineer

Software Engineer

Insight Global • Vancouver, Metro Vancouver Regional District, CA
6 days ago
Job type
  • Full-time
  • Permanent
Job description

Software Engineer (AI Platform)

Location : Vancouver, BC, Canada – Hybrid – Permanent

Salary : CA$140,000.00 / yr – CA$150,000.00 / yr

Responsibilities

  • Contribute to the design and development of core AI platform components to support machine learning lifecycle workflows (data and metadata ingestion, storage and indexing, model training, validation, deployment) within a live-service gaming environment
  • Implement and maintain cloud-based infrastructure (on AWS, GCP or Azure) supporting scalable ML workloads, ensuring reliability, availability and cost‑efficiency for game operations
  • Assist in automating end-to-end AI workflows : build CI / CD pipelines for model deployment, containerized micro‑services (Docker / Kubernetes), and metric instrumentation for model performance and monitoring
  • Work alongside data scientists, ML engineers and game developers to integrate ML models into production systems, support deployment, conduct testing and troubleshoot performance or reliability issues in live environments
  • Develop and maintain scripts, services or platform modules for feature pipelines, model orchestration, data‑lake or lakehouse interactions (e.g., Spark, Redshift, Snowflake)
  • Monitor, tune and optimise model performance, scalability, and cost‑efficiency in production, contributing suggestions and implementation of improvements under the direction of senior engineers

Must-Haves

  • Master’s degree or equivalent in Computer Science, AI, ML, or related field, or Bachelor degree or equivalent in Computer Science, Electrical Engineering, or related field with 3+ years of software engineering experience with a focus on AI / ML systems or platform development
  • Familiarity with deep‑learning frameworks (e.g., PyTorch) and a basic understanding of machine learning lifecycle : model development, evaluation, deployment
  • Proficiency in Python programming
  • Experience working with containerization (Docker), orchestration (Kubernetes) and CI / CD pipelines in a cloud environment
  • Experience with data‑lake or lakehouse technologies (e.g., Spark, Redshift, Snowflake, Trino)
  • Understanding of deploying and monitoring ML models in production, including performance, scalability, reliability, and cost considerations
  • Strong problem‑solving and collaboration skills, attention to detail, and excellent communication written and verbal
  • Plusses

  • Exposure to cloud platforms (AWS, GCP, or Azure) and infrastructure‑as‑code tooling (e.g., Terraform, CloudFormation) is highly desirable
  • Exposure to generative AI technologies (e.g., diffusion models, large language models), experience in a live service or gaming environment, or prior project work in end‑to‑end ML systems
  • Experience with one or more additional languages (e.g., Java, Go, C++)
  • Seniority Level

    Mid‑Senior level

    Employment Type

    Full-time

    Job Function

    Information Technology

    Industries

    Entertainment Providers

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    Software Engineer • Vancouver, Metro Vancouver Regional District, CA

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