Ai / Ml Engineer (Apac)
2 days ago
**What are we all about?**:
We are a team of builders and researchers on a mission to empower enterprises and developers worldwide to access and build on decentralized systems.
Our expertise covers several domains: Ethereum and Starknet protocol engineering, layer-2, cryptography research, protocol research, decentralized finance (DeFi), security auditing, formal verification, real-time monitoring, smart contract development, and dapps and enterprise engineering.
Working to solve some of the most challenging problems in the blockchain space, we frequently collaborate with, such as Ethereum Foundation, Starknet Foundation, Gnosis Chain, Flashbots, Forta Protocol, Lido, EigenLayer, Open Zeppelin, RISCZero, Aleph Zero, and many more.
Today, there are nearly 200 of us working remotely from over 45+ countries.
**Are you the one?**
If you've envisioned yourself at the forefront of AI and Web3 innovation, then Nethermind offers the perfect opportunity to transform that vision into reality.
**Responsibilities**:
- Perform R&D in the area of incorporating LLMs into various company-wide tasks
- Prototyping, designing and development of LLM-based solutions
- Working and experimenting with the latest tools and technologies in the AI area
- Opportunity to work with the top software engineers and research professionals to solve the toughest technical challenges
- Stay updated with new developments and research in the AI/ML space (LLM in particular)
**Skills**:
- Excellent programming skills, no preferred language but knowledge of those popular for AI/ML will be beneficial (eg. Python)
- Understanding of good software architecture and engineering process
- Ability to write clean, testable, and maintainable code without over-engineering
- Research, learning and ideating-oriented mindset
- Familiarity with tools such as ChatGPT, Claude, Perplexity and similar tools
- An entrepreneurial nature, willing to take ownership and run toward problems
- Several years of experience in software development and a strong Computer Science background
- Analytical and detail-oriented mindset for designing, validating and comparing experiment results
**Nice to have**:
- Experience with development of LLM-based solutions
- ML/Data science experience, especially in the field of NLP
- Prompt-engineering skills
- Experience with vector embeddings and using vector databases
- Experience with LLM fine-tuning, including model quantization
- Experience with LangChain, SemanticKernel or similar
- Experience with local running open-source LLM models like Llama2 or Mistral
- Experience in design RAG solutions
- Knowledge of LLM-related security concerns like prompt injection, training data poisoning etc.
- A fascination with the inner working of LLM, GPT and similar models
- Knowledge of LLM internals and architecture
- Familiarity with any of the topics like: zero-knowledge systems, blockchain, cryptography or mathematical background
- Having activity on GitHub is a significant advantage (please include links to projects or PRs that you have submitted to external projects)
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