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Realign Logo Realign · IT - Software Development

GenAI ML Engineer

Canada, Toronto 130000.00 USD / Year · Job Posted March 21, 2026
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Job Description

We are seeking a talented GenAI ML Engineer to develop and deploy cutting-edge generative AI solutions and large language models. This role focuses on building innovative AI applications, fine-tuning LLMs, and implementing machine learning pipelines to solve complex business problems using the latest advances in generative artificial intelligence.

Requirements

  • Total Experience: 6-8 years
  • Generative AI Development Design and implement generative AI models for text, code, and multimodal applications
  • LLM Engineering Fine-tune, optimize, and deploy large language models (GPT, Claude, Llama, etc.)
  • Model Training Develop training pipelines for custom generative models and foundation model adaptation
  • Python Development Build robust ML applications, APIs, and services using Python and ML frameworks
  • Prompt Engineering Create and optimize prompts for various LLM applications and use cases
  • Model Evaluation Implement evaluation frameworks for generative AI model performance and safety
  • Production Deployment Deploy and monitor ML models in production environments with proper scaling
  • Research Innovation Stay current with latest GenAI research and implement state-of-the-art techniques
  • Data Pipeline Management Build data preprocessing and feature engineering pipelines for ML workflows
  • Collaboration Work closely with product, engineering, and data science teams to deliver AI solutions
  • Machine Learning Deep expertise in ML algorithms, neural networks, and model optimization
  • Generative AI Hands-on experience with GANs, VAEs, diffusion models, and transformer architectures
  • Large Language Models Proficiency in working with LLMs, fine-tuning, and deployment strategies
  • Python Expert-level Python programming with ML libraries (PyTorch, TensorFlow, Hugging Face, Lang Chain)
  • MLOps Experience with model versioning, monitoring, and production deployment
  • Cloud Platforms Knowledge of AWS Azure GCP ML services and GPU computing
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