#GCP
#Machine Learning
#TensorFlow
#PyTorch
#scikit learn
We are Rackspace Technology, the multicloud solutions experts. We help our clients navigate complex business challenges by designing, building, and managing scalable solutions across data, security, and applications. We are currently looking for a Senior Machine Learning Engineer to join our remote team and help us deliver the future of technology.
Responsibilities
- Build and maintain scalable machine learning infrastructure by implementing automation, CI/CD pipelines, and Infrastructure as Code.
- Design and execute robust automation strategies using scripting and Terraform.
- Work directly with our clients to understand their unique needs and provide tailored technical solutions.
- Create and manage comprehensive technical documentation to support our systems and processes.
Must-haves
- A technical degree in Computer Science, software engineering, or a related field.
- At least 4 years of experience in customer-facing technology or consulting roles.
- At least 4 years of experience managing IT transformations or migrations from on-premises to the cloud.
- At least 4 years of experience building and operating solutions on GCP, AWS, or Azure.
- Google Cloud Professional level certification in DevOps and Machine Learning.
- Strong proficiency in Python and Java.
- Deep expertise in machine learning frameworks like TensorFlow, PyTorch, and scikit-learn.
- Hands-on experience with GCP managed services, including Vertex AI and AutoML.
- Solid understanding of containerization tools such as Docker and Kubernetes.
- Excellent communication skills and a proven ability to thrive in a remote work environment.
- Fluency in English.
Benefits
- Remote work flexibility.
- Life insurance.
- Disability insurance.





