From 38da6b6b580de8201a97a103f485c3f689190821 Mon Sep 17 00:00:00 2001
From: SkybaAlona <105692944+SkybaAlona@users.noreply.github.com>
Date: Tue, 23 Jul 2024 09:48:17 +0200
Subject: [PATCH] =?UTF-8?q?Update=20jobs=20=E2=80=9Cllm-engineer-dl-nlp?=
 =?UTF-8?q?=E2=80=9D?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 src/jobs/llm-engineer-dl-nlp.md | 43 +++++++++++++++++++++++++++++++++
 1 file changed, 43 insertions(+)
 create mode 100644 src/jobs/llm-engineer-dl-nlp.md

diff --git a/src/jobs/llm-engineer-dl-nlp.md b/src/jobs/llm-engineer-dl-nlp.md
new file mode 100644
index 0000000..2d55e8c
--- /dev/null
+++ b/src/jobs/llm-engineer-dl-nlp.md
@@ -0,0 +1,43 @@
+---
+title: LLM Engineer (DL/NLP)
+location: Ukraine/Europe
+---
+Embark on a transformative journey with us as an LLM/DL Engineer, where you will innovate AI applications and optimize business processes using large language models. This role seeks a visionary who thrives in developing pioneering solutions and propelling the frontier of AI technology.
+
+## What We're Looking For:
+
+### Essential Qualifications:
+
+* 1+ years of experience as LLM/DL Engineer
+* Proficiency in Python and key ML libraries, with deep experience in PyTorch or TensorFlow.
+* Expertise in Deep Learning, Neural Networks and LLMs
+* Background in developing LLM-based Applications such as agents and chatbots. Familiarity with langchain and RAG
+* Being quick to understand business needs and capable of translating them into actual solutions.
+* Advanced English proficiency, strong communication skills, ability to easily and clearly articulate technical concepts and effectively engage with the clients.
+
+### Desirable Skills:
+
+* Ability to quickly develop prototypes using tools like Streamlit or Gradio to test and iterate over various hypotheses quickly.
+* Proven experience in NLP, understanding transformer models and differences between BERT and T5.
+* Experience with LLM fine-tuning: PEFT, RLHF, understanding of distributed training.
+* Experience with monitoring and evaluating LLM performance.
+* Experience with LLM inference.
+* Tricks for better interactions with LLMs - being a God of prompts, or a having a set of unconventional tricks on how to make a model output a desired result
+
+### What we offer:
+
+* Environment: work with an experienced team passionate about the industry.
+* Direct involvement with clients, opportunity to influence projects with your ideas and solutions.
+* Top hardware: servers with A6000/RTX 4090, access to high-end GPU instances on cloud.
+* Opportunities for business trips, participation in conferences, PR of our work and your contributions.
+
+### Interview Process:
+
+* Introduction (30-45 minutes).
+* Take-home assignment (4 hours).
+* Solution discussion (60 minutes).
+* Offer.
+
+### How to Apply:
+
+CV is essential, links to GitHub/Kaggle/your outstanding papers and projects are very welcome and highly encouraged
\ No newline at end of file