oakville, on natural language processing nlp Jobs – 7 Openings This Week

GEN AI/ML Developer - Mississauga
Photon —Mississauga, ON
- Machine learning
- AI
- Python
Specialist - Data Engineering
LTM —Mississauga, ON
- $87,896–$93,824 a year
- Azure
- DevOps
- Databases
- Disability insurance
- Dental care
Quick apply
Senior AI Engineer
Bizinsys —Mississauga, ON
- $61,401.82–$120,000.43 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- Databases
Quick apply
Senior Data Engineer - Gen AI
LTM —Mississauga, ON
- $100,000–$110,000 a year
- Azure
- DevOps
- Databases
- Disability insurance
- Dental care
Quick apply
Senior Generative AI Engineer
Recutify Inc. —Mississauga, ON
- Full-time
- Hybrid work
- Azure
- DevOps
- Databases
Quick apply

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Data Quality Analyst
ICES Central —Toronto, ON
Master’s degree in a quantitative discipline such as biostatistics, health informatics, computer science or health services research or related field; or…
$68,000–$78,000 a year
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1d
Senior Data Scientist II
LexisNexis —Toronto, ON
Knowledge of natural language processing (NLP) techniques. Perform data preprocessing, feature engineering, and model evaluation.
$101,800–$151,800 a year

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Key Responsibilities:

Model Development: Design and develop algorithms for generative models using deep learning techniques.
Collaboration: Work with cross-functional teams to integrate generative AI solutions into existing systems.
Research: Stay updated on the latest advancements in generative AI technologies and methodologies.
Optimization: Fine-tune models for performance and efficiency.
Troubleshooting: Address and resolve issues related to generative AI models and implementations.
Documentation: Create and maintain comprehensive documentation for AI models and their applications.
Communication: Explain complex technical concepts to non-technical stakeholders.

Required Skills and Qualifications:

6+ years of strong background in machine learning and deep learning algorithms.
Proficiency in programming languages such as Python, with experience in frameworks like TensorFlow and PyTorch.
Familiarity with natural language processing (NLP) techniques and transformer models (e.g., GPT, BERT)
Hands on experience with prompt structures and fine-tune model outputs to align with business needs and user expectations.
Experience with generative AI techniques, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).
Skills in data preprocessing and feature engineering for AI model training.
Strong understanding of neural network architectures and optimization techniques.
Experience in deploying AI models into production environments.