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.
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.
Thanks
Sanjay Kumar
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