GEN AI/ML Developer - Mississauga

Photon; Canada; On-site; CAD 100,000 - 140,000; Full time

Job summary

A leading technology company in Canada seeks an experienced professional to develop algorithms for generative models utilizing deep learning. The role involves collaboration with teams to integrate AI solutions, staying abreast of advancements, and ensuring model performance through fine-tuning. Candidates should possess over 6 years of experience in machine learning, proficiency in Python, and familiarity with generative AI techniques. The position promises a dynamic environment with opportunities for impact.

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.
• Hands-on experience with prompt structures and fine-tuning model outputs.
• Experience with generative AI techniques.

Responsibilities

• Design and develop algorithms for generative models using deep learning techniques.
• Work with cross-functional teams to integrate generative AI solutions.
• Stay updated on advancements in generative AI technologies.
• Fine-tune models for performance and efficiency.
• Address and resolve issues related to generative AI models.
• Create and maintain comprehensive documentation.

Skills

Machine learning

Deep learning

Python

TensorFlow

PyTorch

Natural language processing (NLP)

Generative Adversarial Networks (GANs)

Variational Autoencoders (VAEs)

Neural network architectures

Job description

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.