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Data Scientist (LLM, LangChain, RAG) in Dataforest

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Dataforest

Dataforest

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3 липня 2024 Data Scientist (LLM, LangChain, RAG) Київ, віддалено Are you a  Data Scientist with a love of LLMs, generative AI? We are looking for a passionate Data Scientist to implement AI solutions aimed at achieving business goals. This role offers the opportunity to work on cutting-edge AI adoption projects that helps to improve current business processes. Skills requirements: • Strong Python Experience (2 year +); • Experience with LLM , Diffusion models; • Knowledge of Prompt

3 липня 2024

Data Scientist (LLM, LangChain, RAG)

Київ, віддалено

Are you a  Data Scientist with a love of LLMs, generative AI?

We are looking for a passionate Data Scientist to implement AI solutions aimed at achieving business goals.

This role offers the opportunity to work on cutting-edge AI adoption projects that helps to improve current business processes.

Skills requirements:

• Strong Python Experience (2 year +);

• Experience with LLM , Diffusion models;

• Knowledge of Prompt engineering;

• Experience with Gen AI-related technologies such as LangChain and RAG;

• Experience with Neural Networks (Optional) ;

• Experience with NLP , Predictive analytics and Machine learning;

• Experience with Pandas;

• Experience with SQL, including experience with large datasets;

• Strong experience in statistics;


Key responsibilities:

• Develop AI agents that utilize LLM, RAG and langchain approach;

• Implement LLM and Diffusion models to boost business productivity;

• Utilize LLM (LLM Vision) to improve object detection, text classification and extraction;

• Create forecasting, recommendation, and classification models;

• Transform business challenges to AI applications;


We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary nominated in USD;

• Paid vacation and sick leaves, medical insurance;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

Without experience
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