GCP AI/ML Engineer
Recutify Inc. · Remote · Hamilton
Job description
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Role : GCP AI/ML Engineer
Location : Remote/Canada
Hire type : Contract
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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
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- 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.
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Required Skills and Qualifications
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- 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.
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Preferred Qualifications
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- GCP Professional Machine Learning Engineer certification.
- Experience with Vertex AI agent builder
- Background in Natural Language Processing (NLP) or Computer Vision
ML/AI Work links you to the employer's original posting — always verify the details there before applying.
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