Full Time Permanent : GenAI ML Engineer : Toronto, ON (4 Days Onsite )
About the role
Job Role : GenAI ML Engineer Location : Toronto, ON (4 Days Onsite ) Job Type : Full time Permanent Salary: USD $120,000 a year
Job Description "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"