Cloud Edge AI Architect
hace 1 semana
About Us
OpenNebula Systems is a leading provider of cloud infrastructure solutions, empowering organizations to manage their data centers and build enterprise clouds. With over a decade of experience, we have established ourselves as a trusted partner in the global open source community.
We are now seeking a skilled Senior Technologist for Artificial Intelligence to join our team in Europe. This role offers an exceptional opportunity to contribute to the development of cutting-edge AI-enabled operations components for our next-generation management platform.
Job Description
The AI Operations Team is responsible for designing and developing the AI engine that optimizes operations on cloud and edge infrastructures. Our vision is to provide smart monitoring, intelligent workload forecasting, workload and infrastructure orchestration capabilities, and log and metric anomaly detection.
We are looking for an experienced Software Developer with expertise in LLMs, AI, AI Ops, and cloud best practices and deployments. The ideal candidate will be product-minded and proficient in Python backend development. This role involves staying up-to-date with the latest research and advancements in using LLMs and generative AI in the context of Cloud-Edge Operations.
Apart from your technical skills, you should be able to collaborate effectively with our team, participate in upstream communities, and engage in challenging projects developing innovative edge/cloud systems. We encourage learning and researching new technologies and methods as part of your everyday duties.
What You Will Do
- Maintain a strong understanding of industry trends, existing service and product portfolios, and best practices.
- Develop, experiment, evaluate, and optimize the use of various foundational LLMs (GPT-4, Claude-3, Mistral, LLama) for log anomaly detection, incident remediation, troubleshooting, and root cause analysis in cloud-edge deployments.
- Create LLM-based solutions like Retrieval Augmented Generations, Reinforcement learning with human-feedback, using frameworks like LangChain, LLama-index, Ludwig, MLFlow, Pytorch.
- Fine-tune open-source LLMs and compare/validate them with public LLM API.
- Analyze functional and systems requirements and key case studies, and build prototypes for solutions to meet internal demands of technology and services, and external demands of customers.
- Meet with prospects, customers, and partners to deeply understand their most difficult challenges.
Required Skills and Qualifications
- 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).
Benefits
- Competitive compensation package and flexible remuneration.
- 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.
About the Role
This is a full-time position based in Europe. As a member of our team, you will have the opportunity to work on cutting-edge projects, collaborate with talented colleagues, and contribute to the growth of our company. If you are passionate about AI, LLMs, and cloud computing, and want to make a real impact, we encourage you to apply.
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