GenAI ML Engineer
Role summary
We are seeking a talented GenAI ML Engineer to develop and deploy cutting-edge generative AI solutions and large language models. This contract, hybrid 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. The ideal candidate will have deep expertise in machine learning, generative AI techniques, LLMs, and expert-level Python programming, with experience in MLOps and cloud platforms. A Master's or PhD in a related field and 4 years of ML experience (2 focused on generative AI) are required.
Job Title - GenAI ML Engineer
Location - Toronto, Ontario
Duration - Contract (Hybrid)
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.
Key Responsibilities
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
Required Skills
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| LangChain)
MLOps - Experience with model versioning| monitoring| and production deployment
Cloud Platforms - Knowledge of AWSAzureGCP ML services and GPU computing
Qualifications
MastersPhD in Computer Science| Machine Learning| AI| or related field
4 years of experience in machine learning with 2 years focused on generative AI
Strong background in deep learning and neural network architectures
Experience with transformer models and attention mechanisms
Proven track record of deploying ML models in production environments
Strong mathematical foundation in statistics| linear algebra| and optimization
Excellent problem-solving skills and ability to work with ambiguous requirements Essential Skills:
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.
***Best Regards*
,**
Karunakar
Apptoza Inc.
Phone: 647-953-1040
Email: karunakar@apptoza.com