Senior Machine Learning Engineer

Summary

Join Rackspace Technology as a Machine Learning Engineer and deliver impactful ML models and pipelines that solve real-world business problems. You will leverage cloud-based architectures and technologies, utilizing Python and popular ML frameworks. This role involves building complex ETL code, SQL queries, and data engineering workflows. You will collaborate with a cross-functional agile team and establish strong customer relationships. The position is remote and based in Vietnam, offering the opportunity to work with cutting-edge technology and contribute to customer success.

Requirements

• Experience building and deploying ML models in a Cloud Platform (Azure is preferred)
• At least 3 years of experience programming with Python, Scala, or Java
• 2+ years of experience building end-to-end data pipelines
• 2+ experience working on large-scale data science/data analytics projects
• Experienced with Python and modern ML frameworks such as SKLearn, PyTorch or TensorFlow
• Strong software development experience with Python or other programming language
• Strong communication and teamwork skills
• Passionate about techniques and solving challenging problems

Responsibilities

• Build complex ETL code
• Build complex SQL queries using MongoDB, Oracle, SQL Server, MariaDB, MySQL
• Work on Data and Analytics Tools in the Cloud
• Develop code using Python, Scala, R languages
• Work with technologies such as Spark, Hadoop, Kafka, etc
• Build complex Data Engineering workflows
• Create complex data solutions and build data pipelines
• Establish credibility and build impactful relationships with our customers to enable them to be cloud advocates
• Capture and share industry best practices amongst the community
• Attend and present valuable information at Industry Events
• Work on full stack technology, from ML and data to production ready models
• Demonstrable experience in all aspects of the ML lifecycle (processing, training, evaluating, deploying, serving, monitoring)
• Collaborate with a cross functional agile team spanning design, data science, product management, and engineering to build new technologies and features
• Experience in developing scalable data driven solutions while working closely with infrastructure teams
• Experience in dealing with databases and building ETL pipelines

Preferred Qualifications

Atleast one public Cloud knowledge preferred( AWS/Azure/GCP)

Benefits

This is a remote / virtual role