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Company: ZERO
Level: Senior/Staff
NLP Engineer
Salary range: 5-8k$ net
City: Armenia, Erevan
or Remote
HR contact:
@seda_hakobyan
Apply here: https://zerosystems.rippling-ats.com/job/630484/senior-staff-nlp-engineer

We are looking for a skilled and highly driven NLP Engineer with expertise in Large Language Models (LLMs) to join our team. The perfect candidate will possess a hackathon mindset, capable of swiftly solving tasks and effectively combining existing technologies to address problems. Your role will involve developing and incorporating LLM-based solutions into our business products (focused on the legal and financial sectors), covering a range of scenarios from question-answering to creating LLM agents.

Responsibilities:
- Design, build, and deploy LLM-based solutions for diverse applications, including question-answering systems, search engines, content generation, and task-solving agents
- Research and stay current with the latest advancements in NLP and LLM technologies, frameworks, and libraries
- Collaborate with cross-functional teams to establish product requirements, deliver top-quality solutions, and ensure seamless integration with existing systems
- Optimize and fine-tune LLM models for enhanced performance, efficiency, and accuracy
- Create and maintain documentation for implemented solutions and share knowledge with the team
- Troubleshoot and resolve issues related to LLM usage in production scenarios, ensuring high reliability and performance.


Qualifications and Skill Set:
- Solid experience working with LLMs, such as GPT3/ Llama/ T5/ BERT, and NLP frameworks, like Hugging Face Transformers, PyTorch /JAX
- Experience with LLMOps: Auto-GPT, Langchain, LlamaIndex, VectorDBs
- Demonstrated programming skills in Python3, using efficient algorithms and software design patterns.
- Familiarity with best practices in software development, including version control, testing, and continuous integration
- Excellent communication and teamwork abilities, with the capacity to work effectively in a dynamic, cross-functional setting
- Exceptional problem-solving, analytical, and critical thinking skills, with the ability to adapt to new challenges and technologies.


It would be cool if you have:
- Experience with cloud platforms, such as AWS, Azure, or Google Cloud
- Experience in commercializing ChatGPT or GPT3/4 for business applications
- Be a promt engineering guru - know how to solve a problem using 101 different promts
- Technical PR (victories in competitions/hackathons, open LLM/NLP projects on GitHub)
- Participation in early-stage startups, involvement in accelerators, or working in their own startup

Our benefits:
- Medical insurance with Dental Services
- Wellness Package (GYM, sports equipment, etc)
- English classes and other learning activities (conference etc)
- Help with relocation and an apartment for the first time



tg-me.com/datasciencework/449
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Company: ZERO
Level: Senior/Staff
NLP Engineer
Salary range: 5-8k$ net
City: Armenia, Erevan
or Remote
HR contact:
@seda_hakobyan
Apply here: https://zerosystems.rippling-ats.com/job/630484/senior-staff-nlp-engineer

We are looking for a skilled and highly driven NLP Engineer with expertise in Large Language Models (LLMs) to join our team. The perfect candidate will possess a hackathon mindset, capable of swiftly solving tasks and effectively combining existing technologies to address problems. Your role will involve developing and incorporating LLM-based solutions into our business products (focused on the legal and financial sectors), covering a range of scenarios from question-answering to creating LLM agents.

Responsibilities:
- Design, build, and deploy LLM-based solutions for diverse applications, including question-answering systems, search engines, content generation, and task-solving agents
- Research and stay current with the latest advancements in NLP and LLM technologies, frameworks, and libraries
- Collaborate with cross-functional teams to establish product requirements, deliver top-quality solutions, and ensure seamless integration with existing systems
- Optimize and fine-tune LLM models for enhanced performance, efficiency, and accuracy
- Create and maintain documentation for implemented solutions and share knowledge with the team
- Troubleshoot and resolve issues related to LLM usage in production scenarios, ensuring high reliability and performance.


Qualifications and Skill Set:
- Solid experience working with LLMs, such as GPT3/ Llama/ T5/ BERT, and NLP frameworks, like Hugging Face Transformers, PyTorch /JAX
- Experience with LLMOps: Auto-GPT, Langchain, LlamaIndex, VectorDBs
- Demonstrated programming skills in Python3, using efficient algorithms and software design patterns.
- Familiarity with best practices in software development, including version control, testing, and continuous integration
- Excellent communication and teamwork abilities, with the capacity to work effectively in a dynamic, cross-functional setting
- Exceptional problem-solving, analytical, and critical thinking skills, with the ability to adapt to new challenges and technologies.


It would be cool if you have:
- Experience with cloud platforms, such as AWS, Azure, or Google Cloud
- Experience in commercializing ChatGPT or GPT3/4 for business applications
- Be a promt engineering guru - know how to solve a problem using 101 different promts
- Technical PR (victories in competitions/hackathons, open LLM/NLP projects on GitHub)
- Participation in early-stage startups, involvement in accelerators, or working in their own startup

Our benefits:
- Medical insurance with Dental Services
- Wellness Package (GYM, sports equipment, etc)
- English classes and other learning activities (conference etc)
- Help with relocation and an apartment for the first time

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Should I buy bitcoin?

“To the extent it is used I fear it’s often for illicit finance. It’s an extremely inefficient way of conducting transactions, and the amount of energy that’s consumed in processing those transactions is staggering,” the former Fed chairwoman said. Yellen’s comments have been cited as a reason for bitcoin’s recent losses. However, Yellen’s assessment of bitcoin as a inefficient medium of exchange is an important point and one that has already been raised in the past by bitcoin bulls. Using a volatile asset in exchange for goods and services makes little sense if the asset can tumble 10% in a day, or surge 80% over the course of a two months as bitcoin has done in 2021, critics argue. To put a finer point on it, over the past 12 months bitcoin has registered 8 corrections, defined as a decline from a recent peak of at least 10% but not more than 20%, and two bear markets, which are defined as falls of 20% or more, according to Dow Jones Market Data.

What Is Bitcoin?

Bitcoin is a decentralized digital currency that you can buy, sell and exchange directly, without an intermediary like a bank. Bitcoin’s creator, Satoshi Nakamoto, originally described the need for “an electronic payment system based on cryptographic proof instead of trust.” Each and every Bitcoin transaction that’s ever been made exists on a public ledger accessible to everyone, making transactions hard to reverse and difficult to fake. That’s by design: Core to their decentralized nature, Bitcoins aren’t backed by the government or any issuing institution, and there’s nothing to guarantee their value besides the proof baked in the heart of the system. “The reason why it’s worth money is simply because we, as people, decided it has value—same as gold,” says Anton Mozgovoy, co-founder & CEO of digital financial service company Holyheld.

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