Match score not available

Data Scientist (Python + GenAI)

Remote:

Full Remote

Experience:

Mid-level (2-5 years)

Work from:

Poland

Offer summary

Qualifications:

At least 4 years of experience in AI or machine learning., Advanced proficiency in Python programming., Degree in Economics, Computer Science, Mathematics, Physics or related fields., Experience with Large Language Models and RAG techniques..

Key responsabilities:

Design and implement AI and machine learning solutions.
Develop intelligent assistants using large language models.

emagine Consulting Financial Services Large https://www.emagine.co.uk/

1001 - 5000 Employees

See more emagine Consulting offers

Job description

Work model: Remote (+ occasional office work, during client visits)

Rate: 145 - 160 PLN/h Net + VAT

Start: ASAP

Project length: 12 months contracts + extensions

Project language: English, Polish

Workload: Full time

RESPONSIBILITIES:

Design and implement innovative AI and machine learning solutions for both internal and clients projects.
Develop and validate intelligent assistants utilizing cutting-edge large language models such as GPT-4, Falcon 2, LLAMA 3, and Mixtral, incorporating Retrieval Augmented Generation (RAG) techniques and leveraging frameworks like Langraph and CrewAI.
Provide expert guidance on technical strategies and solution architectures to address complex business challenges using AI.
Simplify and present intricate technical concepts in a clear and actionable manner for both technical and non-technical stakeholders.
Collect, preprocess, and analyze extensive datasets for training machine learning models.
Contribute to documentation efforts and share industry best practices to enhance project outcomes.

REQUIREMENTS:

At least 4 years of relevant professional experience in AI or machine learning.
Proven experience in building applications with Large Language Models (LLMs), utilizing techniques like RAG, vector databases, embeddings, and prompt engineering.
Familiarity with LLM frameworks such as Langchain or LLamaindex.
Advanced proficiency in Python programming.
Strong understanding of statistics and its application in machine learning.
Deep knowledge of machine learning and AI, including algorithm types, frameworks, model evaluation metrics, and AI architectures.
Experience training and working with transformer-based models for text or image data.
Expertise in managing and processing large datasets using tools like Pandas, NumPy, and SQL.
A degree in a relevant field such as Economics, Computer Science, Mathematics, Physics, or related disciplines.
Excellent English and Polish communication skills, both written and spoken.
Exceptional analytical and problem-solving capabilities.

Nice to have:

Familiarity with GenAI agent frameworks and libraries like Langraph, CrewAI, Autogen, or Taskweave.
Knowledge of Natural Language Processing (NLP) methods and techniques.
Proficiency in additional programming languages such as C#, Go, or Java.
Understanding of key concepts in reinforcement learning.