Senior Machine Learning Engineer

20 hours ago

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💰 Series A on 2023-05

Description

• Collaborate closely with Director of R&D in shaping AI strategy. • Design innovative ML architectures, develop cutting-edge algorithms. • Lead implementation of robust MLOps practices. • Conduct and implement research initiatives to explore cutting-edge ML techniques. • Design, develop, and refine sophisticated ML models. • Architect a wide range of ML solutions, including computer vision and time series analysis. • Conduct in-depth analysis of AI model performance and implement enhancements. • Design efficient and scalable ML pipelines. • Lead knowledge-sharing initiatives and mentor junior engineers. • Translate complex ML concepts into actionable insights for stakeholders.

Requirements

• 7+ years of experience in machine learning engineering, with a proven track record of leading diverse ML projects from conception to production. • Experience in geoscience or related scientific fields is highly valued. • Master's or Ph.D. in Computer Science, Machine Learning, or a related field. • Relevant industry certifications and contributions to the ML community (e.g., publications, open-source projects) are highly valued. • Mastery of Python and advanced proficiency in ML frameworks such as TensorFlow, PyTorch, and scikit-learn. • Deep understanding of a wide range of ML algorithms, architectures, and their practical applications. • Expertise in data processing and analysis, including experience with big data technologies and cloud computing platforms. • Familiarity with MLOps concepts to effectively collaborate with the MLOps engineer. • Proficiency in software engineering principles, agile development, and version control. • Experience with containerization, orchestration, and microservices architectures. • Understanding of data privacy, security, and compliance in ML contexts.

Benefits

• Extensive coverage, medical, dental, and vision plans. • Including vacation days, sick days, personal days, public holidays plus extra time during holiday season. • Flexible work hours, remote work options plus option to use work space in Downtown Vancouver • Opportunities for continuous learning and career development within a company at the forefront of AI-driven innovation in marketing and mineral exploration. • Fitness allowance, work from home allowance, mental health support. • Retirement Plan (RRSP/DPSP)