Machine Learning Engineer II

August 1

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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

• Develop and implement machine learning models and algorithms to solve complex business challenges. • Collaborate with senior engineers and cross-functional teams to integrate ML solutions into various product features. • Work with large datasets to identify trends, patterns, and insights that influence strategic decisions. • Optimize ML models for scalability, performance, and reliability in production environments. • Stay abreast of the latest advancements in AI/ML technologies and apply cutting-edge methods to enhance our systems. • Engage in continuous learning and knowledge sharing to maintain technological leadership. • Assist in code reviews, participate in technical design sessions, and support the development of junior engineers. • Address and troubleshoot issues related to ML models and data pipelines. • Communicate technical concepts effectively to non-technical stakeholders. • Create and maintain detailed documentation for ML models and processes.

Requirements

• You have 3-5 years of experience in software development with a strong focus on machine learning. • Proficient in ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn. • Skilled in programming languages like Python, Java, or similar. • Experienced in data handling, preprocessing, and pipeline development, including SQL/NoSQL databases. • Capable of analyzing large datasets and extracting meaningful insights. • Knowledgeable about AI technologies, including Gen AI, LLMs, and semantic search. • Understanding of security architecture and data privacy standards. • You are an effective problem-solver with a passion for continuous innovation and learning. • Excellent communication skills, with the ability to present technical information to diverse audiences. • Enthusiastic about working in a team-oriented, collaborative environment. • Open to new ideas and continually seeking better ways to achieve goals.