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Machine Learning Engineering Manager
2 months ago
We are seeking a highly skilled Machine Learning Engineering Manager to lead our team in developing cutting-edge machine learning models and algorithms. As a key member of our digital transformation team, you will be responsible for driving innovation and excellence in machine learning and AI initiatives.
Key Responsibilities- Lead the technical architecture for machine learning components and cross-functional ML teams, ensuring integration with advanced AI technologies.
- Define the long-term vision for your team, aligning with the company's strategic and tactical goals, with a focus on machine learning and AI initiatives.
- Translate project goals and product roadmaps into organized technical tasks, collaborating with other EMs to ensure alignment.
- Guide the team to improve our AI and ML components, ML Ops, and processes through your knowledge of industry trends and tools, along with your own experiences.
- Provide guidance and direction to the ML development team to remove obstacles and keep initiatives on target and moving forward.
- Coach and mentor developers in the team through technical design sessions, code reviews, and pair programming, with an emphasis on machine learning and AI practices.
- Collaborate with business and product stakeholders to successfully deliver new machine learning and AI features and capabilities.
- Minimum of 5-7 years in software development, including substantial AI/ML experience.
- Several years in a leadership role, managing and mentoring teams of engineers and data scientists.
- Proven track record in managing complex projects, including planning, execution, and delivery.
- Experience working closely with product managers, data scientists, and other stakeholders.
- Deep understanding of machine learning algorithms, frameworks (e.g., TensorFlow, PyTorch), and programming languages (e.g., Python, Java).
- Strong knowledge of AI/ML concepts, including advanced technologies like Gen AI, LLMs, and semantic search.
- Expertise in data handling, preprocessing, and pipeline development, with proficiency in SQL/NoSQL databases.
- Ability to analyze large datasets, identify trends, and evaluate model performance using various metrics.
- Strong understanding of security architecture and data privacy regulations, ensuring compliance with industry standards.
- Ability to solve complex technical problems and drive innovation with a continuous learning mindset.
- Practical experience in the production implementation of high availability AI/ML systems, ensuring reliability and scalability.
- Excellent verbal and written communication skills, capable of presenting technical concepts to non-technical audiences.
- Ability to adapt to changing technologies and business requirements, fostering a positive and inclusive team culture.
At Loblaw Digital, we offer a dynamic and collaborative work environment, with opportunities for professional growth and development. We are committed to creating accessible environments for our colleagues, candidates, and customers. Requests for accommodation due to a disability can be made at any stage of application and employment.
