Senior Machine Learning Engineer
March 21
Description
• Lead the development and deployment of advanced models, driving innovation and efficiency across the organization • Craft production-ready code, design systems within the overarching architecture, and apply scientific methodologies to solve complex problems • Ensure machine learning projects align with company goals, delivering tangible value • Foster a culture of collaboration, innovation, and continuous learning • Have the freedom to work from anywhere in the world, surrounded by a diverse and talented team that spans the globe
Requirements
• Graduated in Computer Science, Mathematics, Statistics, or a related field with a strong focus on machine learning, or advanced student (min 3rd degree completed) • Minimum of 5 years of experience in machine learning engineering, with a proven track record of developing and deploying robust, scalable machine learning models • Expertise in writing production-ready code, with a strong understanding of the testing pyramid and experience in writing comprehensive tests • Deep knowledge of the machine learning development lifecycle, including the KDD process, Deep Learning ecosystems, MLOps practices, and data engineering • Ability to integrate business strategy with technical execution, contributing to business discussions and ensuring alignment of machine learning projects with business objectives • Strong communication skills, capable of conveying complex technical concepts in simple terms to a diverse audience, and fostering a culture of open, effective communication within the team • Leadership in fostering a culture of continuous improvement, knowledge sharing, and mentorship within the team • Proficiency in advanced ML tools and programming languages used in data science (e.g., Python, R, SQL) • Proficiency in ML cloud services and Saas tools like MLFlow and AWS ecosystem • Proven experience in marketing, e-commerce marketplace, or growth teams
Benefits
• Collaborate with world-class talents in a data-driven, dynamic, energetic work environment • Opportunity to grow and develop both professionally and personally • Safe space to be who you truly are, with a commitment to diversity, equity, and inclusion • Openness to new ideas and initiatives • Great benefits package including remote work, 15 working days of paid holidays, Learning subsidy, and more!
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