Senior Machine Learning Engineer

We are leveraging machine learning (ML) and data science-based products to take our business to the next level. To meet the growing needs of our business, we are searching for an experienced Machine Learning Engineer to enhance the development of a machine learning platform that enables data scientists and engineers across the company to easily build and deploy machine learning solutions at scale through a unified platform approach. This person will lead and experience first-hand how we transform machine learning models and algorithms into AI products for our consumers, customers and partners.

Responsibilities

• Contribute to the development of our machine learning platform, driving for outstanding execution
• Lead by example and define best practices for robust and efficient machine learning service development that includes data pipeline development and automation, model versioning, deployment, monitoring, feature store and continuous model training, etc.
• Design and manage CI/CD pipeline for our machine learning product deployment
• Collaborate with a cross functional team of data scientists, engineers, product managers, business stakeholders to cost-effectively deliver AI services with quality, efficiency, and security
• Contribute to the machine learning engineering roadmap and priorities
  
  

• Strong expertise in developing and deploying offline and online machine learning services in production
• Solid understanding of machine learning software and infrastructure development
• Proficiency in Python
• Experience with cloud computing services or platform (GCP preferred)
• Strong SQL skills
• Familiarity with version control and peer code review systems
• Demonstrated ability to learn and embrace new technologies, applications, and approaches
• Willingness to roll up your sleeves and sometimes wear multiple hats across the data science team, depending on the needs of the business
• Strong written and verbal communication skills and the ability to explain technical topics to both technical and non-technical audiences