ML/AIWork

GCP AI/ML Engineer

Recutify Inc. · Remote · Hamilton

Job description

  • Role : GCP AI/ML Engineer

    Location : Remote/Canada

    Hire type : Contract

  • Detailed JD:
    Responsible for designing, building, and deploying machine learning models and AI-driven systems within the Google Cloud ecosystem. This role bridges data science and software engineering, focusing on creating scalable, production-ready AI solutions-such as Generative AI, natural language processing, and predictive models-using tools like Vertex AI, TensorFlow, and BigQuery.

  • Key Responsibilities

    • Model Development & Training: Develop and train predictive and generative AI models using Python and frameworks such as TensorFlow, PyTorch, or Scikit-learn, often within Vertex AI.
    • GCP Implementation: Implement solutions using GCP services like BigQuery, Dataflow, Cloud Functions, and Vertex AI Pipelines to build scalable infrastructure.
    • MLOps and Automation: Design and automate MLOps pipelines (training, deployment, monitoring) to ensure model performance, scalability, and reliability.
    • Data Engineering: Construct data pipelines for ingestion, preprocessing, and storage of structured/unstructured data using SQL and BigQuery.
    • Generative AI Integration: Implement LLMs, retrieval-augmented generation (RAG) patterns, and agentic workflows (e.g., using LangChain).
    • Optimization & Troubleshooting: Monitor and optimize deployed models for accuracy, latency, and cost-effectiveness.
  • Required Skills and Qualifications

    • Experience: 5+ years in AI/ML model deployment and software engineering.
    • Technical Proficiencies: Strong programming skills in Python and SQL.
    • GCP Expertise: Proven experience with Google Cloud Platform, specifically Vertex AI, Dataflow, and BigQuery.
    • ML Frameworks: In-depth knowledge of TensorFlow, PyTorch, or Scikit-learn.
    • DevOps/Containerization: Proficiency with Docker, Kubernetes (GKE), and CI/CD tools.
    • Education: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field.
  • Preferred Qualifications

    • GCP Professional Machine Learning Engineer certification.
    • Experience with Vertex AI agent builder
    • Background in Natural Language Processing (NLP) or Computer Vision

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GCP AI/ML Engineer
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