Senior Machine Learning Engineer - Search
Loblaw Digital is the team responsible for building and operating the online businesses of Canada's largest and most successful retailer.
Machine Learning
Senior Software Engineer
Hybrid
5+ years of experience
AI · E-Commerce
Description For Senior Machine Learning Engineer - Search
At Loblaw Digital, we're transforming the way Canadians shop by creating leading eCommerce experiences in online grocery shopping, beauty, pharmacy, loyalty, and apparel spaces. As a Senior Machine Learning Engineer - Search, you'll lead the design, development, and implementation of cutting-edge machine learning models and algorithms, including integration with LLMs and other GenAI tools. You'll be responsible for enhancing customer experiences and driving business growth, directly impacting millions of Canadians.
Your role involves:
- Leading advanced ML model development and deployment
- Mentoring junior engineers and providing technical leadership
- Collaborating with cross-functional teams to integrate ML solutions
- Working with large datasets to drive decision-making
- Implementing and optimizing ML models for high availability and performance
- Staying current with AI/ML advancements and applying them to improve systems
- Conducting code reviews and participating in technical design sessions
- Troubleshooting ML models and data pipelines
- Communicating complex technical concepts to non-technical stakeholders
- Developing documentation for ML models and processes
- Providing strategic input into project planning
Join us in shaping the future of retail and make a significant, lasting impact on Canadians' shopping experiences.
Last updated 3 months ago
Responsibilities For Senior Machine Learning Engineer - Search
- 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 For Senior Machine Learning Engineer - Search
Python
Java
- 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
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