Software Engineer - Vancouver

Join a collaborative team and contribute to building scalable, robust, and efficient systems.

Key Responsibilities:

• Design, develop, and maintain software systems with a focus on performance, scalability, and efficiency.
• Implement machine learning algorithms and models, integrating them into production systems.
• Collaborate with cross-functional teams including data scientists, product managers, and UX/UI designers to deliver impactful features.
• Write clean, maintainable, and well-documented code following best practices and industry standards.
• Participate in code reviews, debugging, and troubleshooting to ensure the highest quality software.
• Continuously explore new technologies, tools, and techniques to improve software performance and the development process.
• Develop and maintain data pipelines to handle large-scale datasets and support machine learning applications.
• Contribute to software architecture and design decisions, ensuring scalability and flexibility.

Requirements

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
• 3+ years of experience in software engineering, with a focus on AI, machine learning, or related technologies.
• Proficiency in programming languages such as Python, Java, C++, or JavaScript.
• Experience with AI frameworks (TensorFlow, PyTorch, Keras) and machine learning algorithms.
• Strong understanding of software development life cycle, version control (Git), and Agile methodologies.
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
• Ability to design, implement, and optimize data structures and algorithms for high-performance systems.
• Strong problem-solving and debugging skills with the ability to write efficient code.
• Excellent communication skills, both written and verbal, with the ability to explain technical concepts to non-technical stakeholders.

Preferred Qualifications:

• Master’s degree or PhD in Computer Science or related field.
• Experience working with large-scale data processing systems and big data technologies (Hadoop, Spark).
• Familiarity with DevOps practices and CI/CD pipelines.
• Previous experience working in a fintech or AI company is a plus.