Position Details
About this role
This role focuses on developing and deploying scalable machine learning systems within AWS, emphasizing AI model deployment, system robustness, and cloud integration.
Key Responsibilities
- Deploy ML models at scale
- Build scalable AI architectures
- Collaborate with scientists and engineers
- Ensure system reliability
- Optimize AI deployment processes
Technical Overview
The technical scope includes ML systems, scalable architectures, object-oriented programming, distributed systems, and cloud deployment, primarily using C#, C++, and Java.
Ideal Candidate
The ideal candidate is a mid-level ML engineer with at least 1 year of experience in deploying scalable ML systems, proficient in C#, C++, or Java, with knowledge of distributed systems and AI frameworks. They should be capable of working in cloud environments and collaborating across teams.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 1 year of experience, Lack of experience with ML systems or scalable deployment, No proficiency in C#, C++, or Java
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