Senior Machine Learning Engineer

Summary

Join our Data Science Enablement team as a Senior ML Engineer to design, develop, and maintain platforms and tools for building, training, and deploying AI/ML models at scale. Set technical direction, mentor team members, and ensure the robustness, scalability, and performance of our AI/ML systems. Collaborate with cross-functional teams to align infrastructure capabilities with organizational goals, enabling data scientists to deliver impactful solutions. Key responsibilities include ML system development, tool integration, cloud management, performance optimization, automation, collaboration, mentorship, security and compliance, documentation, research, and troubleshooting. The ideal candidate will have a Bachelor's or Master's degree in a related field and 5-7 years of experience in machine learning engineering. Strong technical skills in AI/ML frameworks, programming languages, cloud platforms, and MLOps are essential.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
• 5-7 years of experience in machine learning engineering, software engineering, or a related role with a focus on AI/ML systems
• Extensive experience with AI/ML frameworks and tools such as TensorFlow, PyTorch, Scikit-Learn, etc
• Advanced proficiency in programming languages such as Python, Java, or Scala, with a focus on applying them in AI/ML contexts
• Hands-on experience deploying and optimizing ML models on cloud platforms, leveraging their AI/ML services
• Experience with Kubernetes (K8s) or similar container orchestration platforms, with an understanding of managing or interacting with cloud solutions
• Understanding of MLOps practices and CI/CD workflows for ML systems
• Solid knowledge of data engineering concepts and tools, including data pipelines and ETL processes
• Exceptional problem-solving abilities and analytical thinking
• Strong communication skills including the ability to work collaboratively in a team environment, mentor team members and collaborate effectively with cross-functional teams
• Demonstrated ability to prioritize and manage multiple high-impact projects, balancing short-term objectives with long-term goals

Responsibilities

• Design and implement scalable and reliable AI/ML infrastructure, including data and ML pipelines, model development environments, and CI/CD
• Integrate various AI/ML tools and frameworks into our existing systems, ensuring seamless operation and compatibility
• Manage cloud-based resources and services for AI/ML workloads, including configuring and optimizing cloud environments to ensure cost-efficiency and performance
• Monitor and optimize model performance, identifying and addressing deterioration to ensure high-quality predictions
• Develop and maintain automation scripts and workflows to streamline model deployment, monitoring, and maintenance processes
• Partner with data scientists and other stakeholders to deeply understand their needs and proactively provide innovative solutions to enhance productivity and model performance
• Act as a mentor to team members and data scientists, guiding best practices for ML workflows at Lightspeed
• Implement and enforce best practices for data security, model governance, and compliance with relevant regulations and standards
• Create and maintain comprehensive documentation for AI/ML systems, processes, and workflows
• Research & implement industry best practices for AI/ML systems, as appropriate for use cases
• Identify and resolve technical issues related to the AI/ML systems, providing support and solutions to ensure minimal disruption

Preferred Qualifications

• Experience with MLOps practices and tools
• Knowledge of AI/ML model lifecycle management and monitoring
• Familiarity with infrastructure-as-code tools (e.g., Terraform, Ansible)

Benefits

• Amazing benefits & perks, including equity for all Lightspeeders
• Constant development of both your skill-set and business acumen with limitless growth opportunities
• Lots of autonomy, flexible work culture
• Innovation time to explore and learn at work
• Shaping the company by joining cultural & technical committees
• Tons of growth opportunities into technical or people management roles
• Opportunity to join a fast-paced, high-growth company
• Opportunity to learn, expand your skill set, forge wonderful relationships and make your mark within the diverse and inclusive Lightspeed family, a true Canadian tech success story
• Lightspeed equity scheme (we are all owners)
• Flexible paid time off and remote work policies
• Health insurance
• Contributions to your pension plan - RRSP
• Health and wellness benefit of $500 per year
• Paid leave and assistance for new parents
• Mental health online platform and counseling & coaching services
• Training opportunities to grow your skills and career
• Volunteer day
• Fully stacked kitchen (hot and cold beverages, meals served)
• Happy hours to build your relationships with colleagues after work