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nlp python machine learning apis llmπ Description
- Design and optimize client prompts, recipes, and templates.
- Define prompts, tool descriptions, memory strategies, guardrails.
- Build agent workflows, orchestration, and custom tools.
- Develop end-to-end AI solutions with backend services and APIs.
- Apply data science to evaluate prompts, analyze errors, and benchmark LLMs.
- Create automated evaluation frameworks for quality, cost, latency, safety.
π― Requirements
- Bachelor's or Master's in CS, Data Science, AI/ML, or related field.
- 5+ years in Data Science or applied AI/ML roles.
- Strong expertise in prompt engineering and LLM behavior.
- Proficiency in Python; build scripts, services, and evaluation pipelines.
- Solid understanding of NLP, ML fundamentals, and production AI systems.
- Strong analytical, problem-solving, and communication skills.
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