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AI Solutions Architect
2 months ago
We are seeking a highly skilled and experienced Machine Learning Engineering Manager to join our team at Loblaw Digital. As a key member of our organization, you will be responsible for leading the design, development, and implementation of cutting-edge machine learning models and algorithms that drive business growth and customer satisfaction.
Key Responsibilities- Lead Machine Learning Model Development: Design, develop, and deploy advanced machine learning models and algorithms to solve complex business problems and drive business growth.
- Mentor and Guide Junior Engineers: Mentor and guide junior engineers, providing technical expertise and leadership in ML projects to ensure the seamless integration of ML solutions into various product features.
- Collaborate with Cross-Functional Teams: Collaborate with cross-functional teams to integrate ML solutions into various product features, ensuring alignment with business goals and objectives.
- Work with Large Datasets: Work with large datasets to identify trends, patterns, and insights that drive decision-making and business growth.
- Implement and Optimize ML Models: Implement and optimize ML models for high availability, scalability, and performance in production environments.
- Stay Up-to-Date with AI/ML Technologies: Stay up-to-date with the latest advancements in AI/ML technologies and apply them to improve our systems and drive business growth.
- Participate in Continuous Learning: Participate in continuous learning and knowledge sharing to ensure the team is always at the cutting edge of technology.
- Communicate Complex Technical Concepts: Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.
- Develop Comprehensive Documentation: Develop and maintain comprehensive documentation for ML models and processes.
- Provide Strategic Input: Provide strategic input into project planning and execution, ensuring alignment with business goals and objectives.
- Extensive Experience in Machine Learning: Extensive experience in software development with at least 5-7 years of hands-on expertise in machine learning.
- Proven Leadership Skills: Proven leadership skills with the ability to mentor and guide junior engineers.
- Proficiency in ML Frameworks and Libraries: Proficiency in ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn.
- Strong Programming Skills: Strong programming skills in languages like Python, Java, or similar.
- Experience with Data Handling: Experience with data handling, preprocessing, and pipeline development, including proficiency in SQL/NoSQL databases.
- Ability to Analyze Large Datasets: Ability to analyze large datasets and identify trends and patterns.
- Knowledge of AI Technologies: Knowledge of AI technologies, including Gen AI, LLMs, and semantic search.
- Strong Understanding of Security Architecture: Strong understanding of security architecture and data privacy regulations.
- Excellent Problem-Solving Skills: Excellent problem-solving skills and a passion for continuous learning and innovation.
- Effective Communication Skills: Effective communication skills, capable of presenting technical concepts to non-technical audiences.
- Ability to Work Collaboratively: Ability to work collaboratively in a cross-functional team environment.
- Open-Minded and Receptive: Open-minded, receptive to new ideas, and always looking for a better way to do something.
- Experience in Deploying ML Models: Experience in deploying ML models in production environments, ensuring high availability and performance.
