AI Prompt Engineer focusing on developing conversational AI experiences for healthcare professionals at Elsevier. Join a team creating innovative solutions powered by generative AI.
About the role
- AI Applied Researcher developing advanced AI solutions at Autofleet, focusing on AI-driven features and optimization. Collaborating with engineering teams for production pipelines and staying updated with AI developments.
Responsibilities
- Lead an applied research for AI-driven features in the Autofleet platform
- Research and optimization agentic flows to solve complex problems
- Collaborate with engineering teams to design, build, and maintain production pipelines
- Conduct experiments and evaluate the performance of AI models, algorithms, and techniques
- Stay up to date with the latest developments in AI, machine learning, and related fields, focusing on LLMs, exploring how emerging technologies can be applied to improve products and services.
Requirements
- Master’s/Ph.D. in Computer Science, Electrical Engineering, Machine Learning, information systems engineering, or related field.
- 5+ years of hands-on experience with developing & maintaining production class Machine Learning projects aimed towards solving business problems.
- High proficiency in Python
- Hands-on proficiency with modern generative AI models, prompt engineering, multi-agents, and RAG architectures. Also, a solid understanding of transformers, optimized fine-tuning techniques, and evaluation methodologies of LLMs while using relevant frameworks (Hugging Face, LangChain, LlamaIndex, etc)
- Familiarity with embedding models and vector databases - advantage
- Experience in data exploration and visualization
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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