Senior AI Technologist
hace 4 semanas
We are seeking a highly skilled Senior Technologist for Artificial Intelligence with expertise in Large Language Models (LLMs) to join our team at OpenNebula Systems in Europe. As part of our new team developing the AI-enabled operations component of the next-generation management platform for the Cloud-Edge Computing Continuum, you will play a key role in designing, developing, and optimizing LLM-based solutions for log anomaly detection, incident remediation, and root cause analysis in cloud-edge deployments.
Key Responsibilities- Develop and experiment with various LLMs, such as GPT-4, Claude-3, Mistral, and LLama, for log analysis, anomaly detection, and incident remediation in cloud-edge environments.
- Design and develop LLM-based solutions, including Retrieval Augmented Generations and Reinforcement learning with human-feedback, using frameworks like LangChain, LLama-index, Ludwig, MLFlow, and PyTorch.
- Fine-tune open-source LLMs and compare/validate them with public LLM APIs.
- Analyze functional and systems requirements and key case studies to build prototypes for solutions to meet internal demands of technology and services, and external demands of customers.
- Meet with prospects, customers, and partners to understand their most difficult challenges and define the design, roadmap, and prototype of the cloud-edge architecture for an end-to-end integrated solution for the AI market.
- Choose the appropriate services and technologies for the system and create documentation and diagrams of the AI integrated solution.
- Contribute to and lead the development and testing of the AI software components, and their integration, deployment, and validation using industry use cases.
- Lead the execution and prepare proposals of research and innovation projects related to cloud-edge management and AI.
- Serve as an evangelist, contribute to community, and advise in the promotion of solutions for the AI market.
- Collaborate with other companies in the cloud-edge ecosystem within international projects, open-source communities, and standardization bodies.
- Bachelor's or Master's degree in Mathematics, Computer Science, Software Engineering, or a related field.
- 3+ years of hands-on experience in AI/ML, LLM, and cloud systems development and integration using open-source technologies.
- Demonstrated expertise in researching, developing, and implementing AI/ML and LLM algorithms for predictive analytics, workload optimization, log analysis, and anomaly detection to enhance system performance trends.
- Proficiency in designing, developing, and maintaining Python code used for AI/ML, data processing, and general software engineering tasks.
- Extensive experience in using various LLM/NLP models, libraries, and frameworks (GPT-4, LangChain, LLama-index), Python ML frameworks (PyTorch, TensorFlow, Keras).
- Passionate and excited about the use of generative AI and LLMs in revolutionizing the world of work, taking pride in developing tools with it that will solve real-world problems and drive mass efficiency savings.
- A quick learner, independent thinker, and creative problem-solver who keeps up to speed with the latest developments and research on LLMs and adapts their work accordingly.
- Experience with Cloud Management technologies and their associated technologies, understanding the implication of managing virtualized infrastructures and the orchestration of the underlying subsystems.
- Competitive compensation package and flexible remuneration: Meals, Transport, Nursery/Childcare.
- Customized workstation (macOS, Windows, Linux).
- Private health insurance.
- Paid time off: Holidays, Personal Time, Sick Time, Parental leave.
- Afternoon-off working day every Friday and during summer.
- Remote company with bright HQ centrally located in Madrid; offices in Boston (USA), Brussels (Belgium), and Brno (Czech Republic); and access to office space near your location when needed.
- Healthy work-life balance: We encourage the right for Digital Disconnecting and promote harmony between employees' personal and professional lives.
- Flexible hiring options: Full Time/Part Time, Employee (Spain/USA) / Contractor (other locations).
- We are building an awesome, Engineering First Culture and your opinion matters: Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued.
- Be exposed to a broad technology ecosystem. We encourage learning and researching new technologies and methods as part of your everyday duties.
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