Remote - CanadaFull-timeSalary not specified

Key Responsibilities

Model Development: Designing, training, and fine-tuning GenAI models (LLMs, Transformers, GANs) for text, image, or data generation.
Application Integration: Integrating GenAI models into products, including developing APIs and connecting to enterprise data sources using RAG.
Prompt Engineering: Developing, testing, and optimizing prompts to improve model output accuracy and reliability.
Optimization: Optimizing model performance, scalability, and cost, including managing API calls and reducing latency.
Collaboration: Working with cross-functional teams (data scientists, product managers) to align AI features with business goals.
Evaluation: Monitoring and evaluating model outputs using metrics like FID or human-in-the-loop testing.

Required Skills and Qualifications

Languages: Proficiency in Python, and sometimes SQL or JavaScript.
Frameworks: Experience with PyTorch, TensorFlow, Hugging Face, LangChain, or LlamaIndex.
AI Techniques: Strong understanding of LLMs, NLP, neural networks, and RAG architectures.
Cloud Platforms: Experience with AWS (SageMaker), Azure (OpenAI), or Google Cloud.
Data Handling: Skills in data cleaning and preprocessing