Senior Machine Learning Engineer - Search

September 7

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Loblaw Digital

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Rooted in legacy. Driven by data. Designed for real life.

Digital Marketing • Software Development • E-Commerce • Responsive Design • Category Management

201 - 500

Description

• Lead the design, development, and deployment of advanced machine learning models and algorithms to solve complex business problems. • Mentor and guide junior engineers, providing technical expertise and leadership in ML projects. • Collaborate with cross-functional teams to integrate ML solutions into various product features. • Work with large datasets to identify trends, patterns, and insights that drive decision-making. • Implement and optimize ML models for high availability, scalability, and performance in production environments. • Stay up-to-date with the latest advancements in AI/ML technologies and apply them to improve our systems. • Participate in continuous learning and knowledge sharing to ensure the team is always at the cutting edge of technology. • Conduct code reviews, participate in technical design sessions, and provide mentorship to junior engineers. • Troubleshoot and resolve issues related to ML models and data pipelines. • Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner. • Develop and maintain comprehensive documentation for ML models and processes. • Provide strategic input into project planning and execution, ensuring alignment with business goals.

Requirements

• Extensive experience in software development with at least 5-7 years of hands-on expertise in machine learning. • Proven leadership skills with the ability to mentor and guide junior engineers. • Proficiency in ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn. • Strong programming skills in languages like Python, Java, or similar. • Experience with data handling, preprocessing, and pipeline development, including proficiency in SQL/NoSQL databases. • Ability to analyze large datasets and identify trends and patterns. • Knowledge of AI technologies, including Gen AI, LLMs, and semantic search. • Strong understanding of security architecture and data privacy regulations. • Excellent problem-solving skills and a passion for continuous learning and innovation. • Effective communication skills, capable of presenting technical concepts to non-technical audiences. • Ability to work collaboratively in a cross-functional team environment. • Open-minded, receptive to new ideas, and always looking for a better way to do something. • Experience in deploying ML models in production environments, ensuring high availability and performance.