Job Description

Locations

• Canada, Canada (Remote)

Salary

Skills Required

• Pythonintermediate
• SQLintermediate
• Pandasintermediate
• scikit-learnintermediate
• XGBoostintermediate
• Keras/TensorFlowintermediate
• PyTorchintermediate
• JAXintermediate
• LLM architecturesintermediate
• transformer modelsintermediate
• multimodal AIintermediate
• prompt engineeringintermediate
• embedding techniquesintermediate
• PEFTintermediate
• LoRAintermediate
• RLHFintermediate
• neural networksintermediate
• generative modelsintermediate
• vector databasesintermediate

Required Qualifications

• Graduate degree (Master’s or PhD) in artificial intelligence, machine learning, or equivalent self-study and experience. (experience)
• 7+ years of industry experience using machine learning to solve real-world problems with large datasets. (experience)
• Strong programming skills in Python with fluency in data manipulation tools (SQL, Pandas) and machine learning frameworks (scikit-learn, XGBoost, Keras/TensorFlow). (experience)
• Strong analytical skills and problem-solving abilities. (experience)
• Excellent communicator, capable of collaborating with diverse stakeholders across all levels. (experience)

Preferred Qualifications

• Extensive expertise with modern deep learning frameworks (PyTorch, TensorFlow, JAX) and advanced LLM architectures, including transformer models and multimodal AI systems. (experience)
• Demonstrated experience implementing and fine-tuning large language models, including prompt engineering, embedding techniques, and optimizing inference in production environments. (experience)
• Strong foundation in AI fundamentals, including neural network architectures, generative models, and foundation model adaptation methodologies like PEFT, LoRA, and RLHF. (experience)
• Proven track record of designing and deploying sophisticated ML/AI systems in production environments that improve recommendations, search relevance, and user engagement metrics. (experience)
• Experience optimizing AI model performance across the stack, from architecture design and training workflows to distributed inference and serving infrastructure. (experience)
• Self-motivated and innovative with a strong sense of ownership, capable of navigating the rapidly evolving AI landscape to evaluate and implement novel techniques. (experience)
• Passionate about applying cutting-edge AI research to real-world problems while considering the practical aspects of building responsible, efficient AI systems at scale. (experience)

Responsibilities

• Design, develop, and deploy advanced AI and machine learning solutions, including LLMs and neural networks, to solve complex challenges in our dynamic marketplace environment.
• Architect and implement state-of-the-art deep learning systems that leverage transformer models, multimodal AI, and generative techniques to create intelligent, adaptive solutions.
• Collaborate closely with product managers, data scientists, and backend engineers to translate business requirements into cutting-edge AI applications that deliver measurable impact.
• Pioneer foundation model applications, including prompt engineering and fine-tuning, to create AI systems with unparalleled understanding of context and user intent.
• Ensure ethical implementation and strong integration of AI solutions, aligning them with strategic business objectives.
• Drive continuous innovation by researching, testing, and implementing the latest advancements in machine learning, such as embeddings, vector databases, and RLHF (Reinforcement Learning from Human Feedback).
• Enhance operational efficiency through intelligent automation, predictive modeling, and algorithmic optimization driven by custom-trained AI systems.

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