Machine Learning Engineer

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 process

Competencies:

• 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 frameworks

Required 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.