Position Details
About this role
This role involves developing and operationalizing advanced AI and ML systems, focusing on LLMs, prompt engineering, and scalable AI infrastructure.
Key Responsibilities
- Design ML pipelines
- Implement AI systems
- Apply LLMs and prompt design
- Build scalable AI infrastructure
- Collaborate with data scientists
Technical Overview
The environment includes Python, TensorFlow, PyTorch, large-scale ML pipelines, and AI infrastructure for deploying and managing AI models.
Ideal Candidate
The ideal candidate is a senior ML engineer with 8+ years of experience in building AI systems, proficient in Python and ML frameworks like TensorFlow and PyTorch. They have expertise in LLMs, prompt design, and deploying scalable AI solutions, with a strong background in software engineering best practices.
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 8 years of experience in ML, Lack of proficiency in Python, No experience with TensorFlow or PyTorch, No background in AI infrastructure or scalable systems
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