Senior Machine Learning Engineer

March 26

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VRIFY

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VRIFY is a platform that revolutionizes communication within the mining industry through advanced AI technologies and interactive 3D visualizations. The company offers tools to enhance investor meetings, stakeholder communications, and press releases by transforming complex geological data into 3D presentations that are easy to understand. VRIFY's AI-powered system improves mineral exploration targeting and decision-making by generating precise 3D maps of the Earth's subsurface. The platform integrates various geological datasets to create robust, data-driven insights, enabling more effective communication and presentations. VRIFY aims to modernize and optimize the way mining companies communicate and present their projects to investors and stakeholders.

Technology and Financial

51 - 200 employees

🥽 AR/VR

🤖 Artificial Intelligence

💰 Series A on 2023-05

📋 Description

• Collaborate with the Director of R&D to shape and implement VRIFY's comprehensive AI strategy for geoscientific applications. • Oversee all stages of the ML lifecycle, ensuring cohesion from data preparation to model deployment and monitoring. • Design and implement a wide range of ML solutions, including computer vision, time series analysis, and geospatial data processing systems. • Lead the implementation of robust MLOps practices, including CI/CD for ML models. • Optimize AI infrastructure and workflows for performance, scalability, data pipeline, and automation. • Foster collaboration between data engineers, scientists, and geoscientists to create a cohesive ML ecosystem. • Continuously enhance the reliability, efficiency, and impact of AI systems through ongoing improvement and optimization. • Working knowledge of geospatial databases (e.g., PostGIS, GeoPandas) is highly valued.

🎯 Requirements

• 7+ years of experience in machine learning engineering, with a proven track record of delivering ML solutions into production. • Mastery of Python and advanced proficiency in ML frameworks such as PyTorch, scikit-learn, compiled inference engine such as onnxruntime and openvino, and model deployment. • Deep understanding of a wide range of ML algorithms, architectures, and their practical applications. • Experience in handling large datasets, with experience in AWS. • Proficiency in software engineering principles, version control, and CI/CD practices. • Experience with containerization, orchestration, and microservices architectures. • Understanding of data privacy, security, and compliance in ML contexts. • Proven ability to lead and mentor technical teams in ML projects. • Excellent problem-solving abilities with a strategic mindset. • Outstanding communication skills, adept at explaining complex ML concepts to diverse audiences, from technical teams to executive stakeholders. • Strong project management skills and ability to drive multiple initiatives simultaneously. • Adaptability and enthusiasm for continuous learning in the rapidly evolving field of ML.

🏖️ Benefits

• Health Benefits: Extensive coverage, medical, dental, and vision plans. • Paid Time Off (PTO): Including vacation days, sick/personal care days, public holidays plus extra time during holiday season. • Work-Life Balance: Flexible work hours, remote work options plus option to use work space in Downtown Vancouver. • Professional Development: Career growth program to help our team advance their career. • Performance Bonuses • Wellness Programs: Fitness allowance, work from home allowance, mental health support. • Retirement Plan (RRSP/DPSP)