Offer summary
Qualifications:
Expert-level proficiency with cloud technologies, ideally AWS., Extensive experience with containerization and orchestration, preferably Kubernetes., Deep understanding of software development, DevOps, and MLOps best practices., Significant experience in designing, deploying, and maintaining scalable models., Proficiency in Python, SQL, and familiarity with Go or other languages..
Key responsabilities:
- Collaborate with Data Science on seamless model deployment.
- Architect and oversee machine learning pipelines for efficiency.
- Mentor mid-level engineers and promote best practices.
- Communicate complex ML concepts to technical and non-technical stakeholders.
- Lead integration of new technologies aligning with organizational goals.