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Machine Learning Engineer
4 months ago
Responsibilities:
Is an SME in Machine Learning Able to tech lead initiatives for Data Science and ML: task breakdown, project design, delegation, and review Produce "clean" and well-structured code, with detailed specifications. This means that your code is well-designed, simple, readable properly documented, well-tested, and is production ready Mentors junior engineers Improves foundational processes and promotes best practices Contributes to the hiring and interview processCompetencies:
Customer driven: Attentive to our customers’ needs and strive to deliver a seamless and delightful customer experience High Impact: Understand what the most important customer metrics are and find the right direction to impact them by working with Product Managers and through multiple agile iterations Ownership: Have ownership of projects from start to finish, make sure to have high quality implementation, and have urgency to move fast and find the most efficient ways to iterate Team Mentorship & Sharing: Able to up-level the team by sharing knowledge and best practices with the engineering team Agility: Organised and able to effectively plan and breakdown large projects into smaller tasks that are easier to estimate and deliver. Can lead fast iterations Speak and Act Courageously: Isn’t afraid to fail, isn’t afraid to challenge status quo, speak up for contrarian view Focus and Move with Urgency: Able to prioritise for impact and move fast to deliver experiments and features to achieve customer value Intelligence: Learns quickly. Demonstrates ability to quickly and proficiently understand and absorb new codebase and frameworksRequired Qualifications:
Bachelors or Masters in Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience 5+ years of experience building Machine Learning or AI systems Experience deploying and managing machine learning models in the cloud Strong analytical and problem-solving skills Proven software engineering skills in production environment, primarily using Python Experience with Machine Learning software tools and libraries (e.g., Scikit-learn, TensorFlow, Keras, PyTorch, etc.)Preferred Qualifications:
Experience with Databricks, Google Cloud Platform, Snowflake, mlflow, and Airflow Experience with Large Language Models (LLMs) or similar technologies Experience with one or more of the following: natural language processing, deep learning, recommendation systems, search relevance & ranking, and speech-to-text conversion.