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Tech Stack
Tools & technologiesAWSAzureCloudPySparkPython
About the role
Key responsibilities & impact- Design and implement AI/Gen AI applications across major clouds
- Collaborate with data engineers and data scientists in designing data pipelines
- Participate in architectural decisions and design architectures for AI/ML and Generative AI
- Write high-quality, efficient, testable code in Python and other languages
- Mentor AI engineers in coding best practices
Requirements
What you’ll need- Over 15 years of professional experience
- Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, or related field
- Experience in deploying AI/ML solutions on Azure, AWS and/or Google Cloud
- Strong programming skills in Python and/or PySpark
- Familiarity with MLOps, LLMOps and Agent Ops concepts and tech stack
Benefits
Comp & perks- Competitive salary
- Continuous learning opportunities
- Transformative leadership
- Diverse and inclusive culture
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonPySparkAI/ML Solutions DeploymentData Pipeline DesignTestable Code Writing
Soft Skills
MentoringCollaboration
Certifications
Bachelor’s Degree in Computer ScienceMaster’s Degree in Data Science
