Junior Applied AI Engineer building intelligent, data - driven HR solutions at Fortinet. Joining the HRIS team to develop AI - powered tools like chatbots and analytics models.
About the role
- AI Developer at GenAIz specializing in machine learning models for the Life Sciences industry. Responsible for software development, model implementation, and collaboration with cross-functional teams.
Responsibilities
- Developing high-quality software using Python
- Creating, training, and testing various Machine Learning (ML) models from scratch
- Implementing Large Language Models (LLMs) to solve complex problems in the Life Sciences industry
- Collaborating with cross-functional teams to identify business needs and develop solutions
- Troubleshooting and debugging code, identifying areas for improvement, and implementing best practices
- Staying up-to-date with advancements in AI/ML research and development
Requirements
- 3+ years of experience in Python development (including data structures, algorithms, and object-oriented programming)
- Deep understanding of Large Language Models (LLMs) and their applications in the Life Sciences industry
- Experience creating various ML models from scratch using popular libraries such as TensorFlow or PyTorch
- Strong knowledge of machine learning concepts, including supervised/unsupervised learning, neural networks, and deep learning
- Familiarity with software development methodologies
- Experience working with version control systems (Git)
- Excellent problem-solving skills and ability to work independently
- Strong communication and collaboration skills
Benefits
- Competitive salary and benefits package
- Opportunity to work on cutting-edge technology projects in the Life Sciences industry
- Flexible remote work arrangement with occasional travel to Montreal or surrounding areas
- Collaborative and dynamic work environment
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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