Generative AI Engineer
- Mississauga, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- 6-10 years of application development experience.
- Posting language
- English
- Posted
Original job description
Job Description :
We are seeking an experienced AI/ML Developer to design, develop, and deploy machine learning and generative AI solutions. The ideal candidate should possess strong expertise in Python, Machine Learning algorithms, NLP, and Large Language Models (LLMs), with the ability to build scalable AI-driven applications in enterprise environments.
Key Responsibilities
Design, develop, and implement AI/ML solutions for business problems.
Build, train, evaluate, and optimize machine learning models.
Develop applications leveraging LLMs, NLP, and Generative AI technologies.
Collaborate with business users, data engineers, and architects to gather requirements and recommend AI-driven solutions.
Develop and maintain data pipelines and model deployment frameworks.
Monitor model performance and implement continuous improvement strategies.
Integrate ML models with enterprise applications through APIs and cloud platforms.
Ensure compliance with data security, privacy, and governance standards. [AI ML Engi...- Engineer | PDF], [AI ML Engi...r Engineer | PDF]
Required Skills
6-10 years of application development experience.
Strong proficiency in Python.
In-depth knowledge of Machine Learning algorithms and techniques.
Experience with NLP and Generative AI.
Experience working with Large Language Models (LLMs), preferably in banking/financial services.
Knowledge of TensorFlow, PyTorch, or Scikit-learn.
Good understanding of SQL and data processing.
Experience with model evaluation metrics such as Accuracy, Precision, Recall, F1 Score, RMSE, and MAE.
Strong analytical and problem-solving skills.
More about this job
Responsibilities
Design, build, evaluate, and optimize machine learning and generative AI solutions, including applications using NLP and large language models. Develop data pipelines and deployment frameworks, integrate models with enterprise applications, collaborate with business and technical teams, and monitor model performance while ensuring security, privacy, and governance compliance.
Requirements
Requires 6–10 years of application development experience, strong Python skills, and in-depth knowledge of machine learning, NLP, and generative AI, including large language models. Candidates should also have experience with TensorFlow, PyTorch, or Scikit-learn, SQL and data processing, model evaluation metrics, and strong analytical and problem-solving abilities.
Skills
- Python
- Machine Learning
- Natural Language Processing
- Generative AI
- Large Language Models
- TensorFlow
- PyTorch
- Scikit-Learn
- SQL
- Model Evaluation
- Data Processing
- Data Pipelines
- Model Deployment
- Cloud Platforms
- API Integration
- Data Security
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Engineering
- Transportation
Keywords
- Python
- Machine Learning
- Machine Learning Algorithms
- Natural Language Processing
- Generative AI
- Large Language Models
- TensorFlow
- PyTorch
- Scikit-Learn
- SQL
- Data Processing
- Model Evaluation
- Accuracy
- Precision
- Recall
- F1 Score
- RMSE
- MAE
- Data Pipelines
- Model Deployment
- APIs
- Cloud Platforms
- Enterprise Applications
- Data Security
- Data Privacy
- Data Governance
- Banking
- Financial Services