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: Robust 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 Qualified Machine Learning Engineer certification.
Experience with Vertex AI agent builder
Background in Natural Language Processing (NLP) or Computer Vision

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