Generative AI Engineer Python NLP & RAG
Location: Toronto Hybrid (2 days onsite)
Role Overview:
The role involves assisting in the development of Generative AI solutions using Python Java and cloud technologies. The candidate will apply machine learning deep learning NLP and Retrieval-Augmented Generation (RAG) concepts to real business use cases while building reusable and efficient code.
Key Responsibilities:
Assist in developing Generative AI solutions using Java Python and cloud technologies
Apply machine learning deep learning NLP and RAG concepts to business use cases
Build reusable efficient and scalable code
Support AI-assisted development and integration of Generative AI tools
Leverage cloud platforms (AWS Azure GCP) for deployment and integration
Solve complex problems using strong analytical thinking and practical implementation
Top 3 Required Skills:
1. Strong foundation in Machine Learning Deep Learning NLP and RAG
2. Proficiency in Python with experience in Generative AI tools
3. Experience with Cloud technologies (AWS Azure GCP)
Top 3 Preferred Skills:
1. Hands-on experience with Generative AI tools (Microsoft Copilot AI-assisted development RAG)
2. Familiarity with Java
3. Strong analytical and problem-solving skills
Education Requirements:
Bachelors degree in Computer Science Engineering Data Science or a related technical field (or equivalent experience)
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