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Cisco Account Executive ThousandEyes Spain, Community of Madrid, Madrid 353791372
06.05.2025
The application window is expected to close on: May 7, 2025
Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
Your Impact
You are adept at problem-solving and thrive in a collaborative environment, working seamlessly with cross-functional teams to translate business requirements into technical solutions. Your commitment to continuous learning keeps you at the forefront of AI advancements, and you are proactive in applying new knowledge to enhance existing systems.
- Develop and implement applications, agents and assistants on generative large language models such as Mistral, Cohere, GPT4, Llama and their derivatives, ensuring they meet business requirements.
- Optimize generative AI applications, agents and assistants for performance, scalability, and reliability; Red teaming to validate application robustness and precision.
- Develop APIs for AI model interaction based on the business use-cases requirements
- Implement Generative AI techniques like RAG / RAFT and fine-tuning for inference and AI model customization
- Leverage Natural Language Processing and Large Language Model (NLP and LLM) techniques to drive insights from structured and/or unstructured text data.
- Build clear documentation for developed models, applications, agents, assistants and systems for internal and external use.
- Engage. and own the lifecycle of the AI applications, including design, implementation and sustenance.
Minimum Qualifications:
- Bachelor’s degree in STEM with 7+ years of experience in AI, Data Science or similar; Master’s degree in STEM with 4+ years of experience in AI, Data Science or similar OR a PhD in STEM with 1+ years of experience in AI, Data Science or similar
- 5+ years of programming experience with Python, R, or Go
- 2+ years of professional experience using machine learning libraries (e.g, TensorFlow, PyTorch, Scikit-Learn etc.) for model selection, tuning, data visualization, data preprocessing, or evaluation
- Professional experience fine-tuning Natural Language or Large Language Models
Preferred Qualifications
- Familiarity with data science toolkits like Pandas, NumPy, or SciPy
- Understanding of vector databases like Milvus, Pinecone, Weaviate, Atlas Mongo for similarity search in AI applications.
- Understanding of graph databases like Neo4J for entity modeling and relationship search in AI applications (including vectorization)
- Experience with structure data interactions from Gen AI models and associated SQL tools.
- Understanding of big data and streaming technologies (e.g., Spark, Kafka).
- Analytics skills for data interpretation.
- Experience with cloud platforms like Google AI Platform, Azure AI or AWS.
- Experience using LangChain or techniques like RAGs (Retrieval-Augmented Generation) or RAFT (Retrieval-Augmented Fine-Tuning) to build context-aware language models
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