GenAI ML Engineer-7
Role summary
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. Responsibilities include designing and implementing generative AI models, fine-tuning and deploying LLMs (GPT, Claude, Llama), developing training pipelines, building ML applications with Python and ML frameworks, prompt engineering, model evaluation, production deployment, and data pipeline management. Expertise in Python, ML libraries (PyTorch, TensorFlow, Hugging Face, Lang Chain), MLOps, and cloud platforms (AWS, Azure, GCP) is required. The role requires 6-8 years of total experience with a deep understanding of ML algorithms, neural networks, GANs, VAEs, diffusion models, and transformer architectures.
Toronto, Ontario M5V 3L9 Posted March 29th, 2026
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Job Type: Full Time
Job Category: IT
Job Description
GenAI ML Engineer
Toronto, ON - Onsite
"""Total Experience: 6-8 years
Required Skill Sets:
- 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.
- 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
Desired Skill Set:
- ML , GenAI , LLM , Python
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Required Skills
TECHNICAL PROJECT MANAGER