In this role, you will…

• Collaborate with data scientists and data engineers to design and build our entire ML platform
• Create data pipelines for feature extractions
• Design, optimize and automate the full life-cycle of ML models - Training, Deployment, Monitoring
• Optimize, automate and monitor the whole model training and deployment process

In this role, you’ll need …

• At least 3+ years as a Software Engineer, preferably as a Machine Learning Engineer.
• Experience in taking part in data product development lifecycle
• Strong technical implementation skills, using Python and SQL
• Basic familiarity with common data-science methods, namely supervised/unsupervised learning, classification, regression and clustering methods, and common quality measurements
• All-around team player who is a self-motivated, fast learner
• Background working with distributed computing systems (e.g., Spark) / Scala - advantage