FAQs
What is the primary focus of the Senior Machine Learning Engineer (Inference) role?
The primary focus is to architect, build, and optimize a Machine Learning inference platform, with an emphasis on creating high-performance and cost-effective inference systems for various models.
What qualifications are required for this position?
Candidates must have a Bachelor's degree in Computer Science with a minimum of 8 years of relevant industry experience, or a Master's degree with at least 6 years of experience, preferably with a specialization in Machine Learning.
Which programming languages are essential for this role?
Expert-level proficiency is required in at least one programming language, such as Java, Python, or C++.
Are there specific deep learning frameworks that candidates should be familiar with?
Yes, candidates should have hands-on experience with leading deep learning frameworks such as TensorFlow, Keras, or Spark MLlib.
How crucial is experience in building and scaling ML inference platforms?
Proven experience in building and scaling ML inference platforms in a production environment is crucial for this role.
Is experience with public cloud services required?
Yes, expertise in public cloud services, particularly in Google Cloud Platform (GCP) and Vertex AI, is required.
What is expected of candidates regarding team collaboration?
Candidates should be able to collaborate closely with cross-functional teams, ensuring a clear understanding of technical needs and project goals, while maintaining strong communication skills in a remote environment.
Are there any must-have skills for this role?
Must-have skills include expertise in model optimization techniques, a strong understanding of LLM architectures, and the ability to tackle complex challenges with innovative solutions.
Does Rackspace Technology value diversity and inclusion?
Yes, Rackspace Technology is committed to equal employment opportunity and embraces diverse perspectives to fuel innovation and better serve customers and communities globally.
What kind of work environment does the company promote?
Rackspace Technology promotes a remote work environment where employees are encouraged to bring their whole selves to work and thrive as valued members of a winning team.