Location: Toronto ON (hybrid with 4 days office in a week)
Duration: Fulltime Opportunity
Note: Final Interview will be in-person/ Face to Face.
Job Description: - 5 years of experience in building Deep Learning or Machine Learning models. - In-depth knowledge of Machine Learning Deep Learning and Generative AI. - Ability to serve as the primary contributor in developing Generative AI solutions while guiding the team on best practices and conducting code reviews. - Strong understanding of Machine Learning Natural Language Processing (NLP) and Information Extraction. - Familiarity with Embeddings Re-rankers and agentic frameworks. - Knowledge of Inferencing fine-tuning and model architectures. - Extensive experience in building end-to-end AI Operations including experimentation model evaluations and model monitoring. - Solid understanding of Algorithms and Data Structures. - Knowledge of distributed computing.
Thanks
Sanjay Kumar
Role: AI Engineer (GenAI) Location: Toronto ON (hybrid with 4 days office in a week) Duration: Fulltime Opportunity Note: Final Interview will be in-person/ Face to Face. Job Description: - 5 years of experience in building Deep Learning or Machine Learning models. - In-depth knowledge of Machine L...
Role: AI Engineer (GenAI)
Location: Toronto ON (hybrid with 4 days office in a week)
Duration: Fulltime Opportunity
Note: Final Interview will be in-person/ Face to Face.
Job Description: - 5 years of experience in building Deep Learning or Machine Learning models. - In-depth knowledge of Machine Learning Deep Learning and Generative AI. - Ability to serve as the primary contributor in developing Generative AI solutions while guiding the team on best practices and conducting code reviews. - Strong understanding of Machine Learning Natural Language Processing (NLP) and Information Extraction. - Familiarity with Embeddings Re-rankers and agentic frameworks. - Knowledge of Inferencing fine-tuning and model architectures. - Extensive experience in building end-to-end AI Operations including experimentation model evaluations and model monitoring. - Solid understanding of Algorithms and Data Structures. - Knowledge of distributed computing.