AI and ML Expert
10 hours ago
We are seeking a highly skilled AI and Machine Learning (ML) expert to join our team at emagine Sp. Z o.o. as a key player in driving innovation and growth.
Job SummaryThe ideal candidate will possess extensive experience in designing, developing, and implementing cutting-edge AI and ML solutions for both internal and client projects. This role requires expertise in large language models, Retrieval Augmented Generation (RAG) techniques, and familiarity with frameworks like Langraph and CrewAI.
Responsibilities- Design and implement innovative AI and machine learning solutions for both internal and client projects.
- Develop and validate intelligent assistants utilizing cutting-edge large language models such as GPT-4, Falcon 2, LLAMA 3, and Mixtral, incorporating 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.
- 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 communication skills, both written and spoken.
- Exceptional analytical and problem-solving capabilities.
- 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.
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