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Realignvia Indeed
GenAI ML Engineer-2
Toronto, ON, CAPosted 4mo ago
ML EngineerMid LevelFull-time#python#pytorch#tensorflow#huggingface#llm#gpt#transformers#aws#gcp#azure
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About the Role
Toronto, Ontario M5V 3L9 Posted February 24th, 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:
"
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
- ML , GenAI , LLM , Python
"
Required Skills
TECHNICAL PROJECT MANAGER
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