As a full spectrum Azure integrator, we assist hundreds of companies to realize the value, efficiency, and productivity of the cloud. We take customers on their journey to enable, operate, and innovate using cloud technologies – from migration strategy to operational excellence and immersive transformation.
If you like a challenge, you’ll love it here, because we’re solving complex business problems every day, building and promoting great technology solutions that impact our customers’ success. The best part is, we’re committed to you and your growth, both professionally and personally.
Job Overview:
As a Machine Learning Engineer, you will deliver ML models and pipelines that solve real-world business problems, while leveraging ML Ops best practices, to ensure successful deployment of ML models and application code. You will leverage cloud-based architectures and technologies to deliver optimized ML models at scale. You will use programming languages like Python and work with popular ML frameworks like Scikit Learn, Tensorflow etc..
If you get a thrill working with cutting-edge technology and love to help solve customers’ problems, we’d love to hear from you. It’s time to rethink the possible. Are you ready?
What You’ll Be Doing:
- 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
Responsibilities:
- 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)
- Experienced with Python and modern ML frameworks such as SKLearn, PyTorch or TensorFlow
- 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
- Atleast one public Cloud knowledge preferred( AWS/Azure/GCP)
- Strong software development experience with Python or other programming languageStrong communication and teamwork skills
- Passionate about techniques and solving challenging problems
Qualifications:
- Experience building and deploying ML models in a Cloud Platform (Azure is preferred)
- At least 3 years of experience programming with Python, Scala, or Java2+ years of experience building end-to-end data pipelines
- 2+ experience working on large-scale data science/data analytics projects
Location
- This is a remote / virtual role
- Candidate needs to be based in Vietnam
About Rackspace Technology
We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
More on Rackspace Technology
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
