Requirements: English
Company: Mindbox S.A.
Region: Krakw , Lesser Poland Voivodeship
We offer:
- We are open to the employment form according to your preferences
- Work with experienced and engaged team, willing to learn, share knowledge and open for growth and new ideas
- Hybrid working system[(2 days office in Cracow/3 days remote)]
- Mindboxis a dynamically growing IT company, but still not a large one everybody can have a real impact on where we are going next
- We invest in developing skills and abilities of our employees
- Strong understanding of LLM architectures and expertise in fine tuning pre trained models on domain specific data
- Experience withRAG (Retrieval Augmented Generation), Prompt Engineering concepts and fundamentals (VectorDBs)
- In depth knowledge of machine learning, deep learning, and NLP
- Manage prioritization and technology work for building NLP, ML AI solutions experience in experimenting and developing with LLM
- Follow AI best practices, ensuring fairness, transparency and accountability in AI model and system
- Good exposure inPython and strong knowledge in SQL, GitHub. Be familiar with CI/CD pipelines
- Cloud Platforms knowledge must:Azure /GCP
- Strong communication/presentation skills in English
We offer:
- We are open to the employment form according to your preferences
- Work with experienced and engaged team, willing to learn, share knowledge and open for growth and new ideas
- Hybrid working system[(2 days office in Cracow/3 days remote)]
- Mindboxis a dynamically growing IT company, but still not a large one everybody can have a real impact on where we are going next
- We invest in developing skills and abilities of our employees
,[The best candidate will have a deep understanding of Large Language Models (LLMs) and hands-on experience in fine-tuning and deploying AI models tailored to specific domains. You will play a key role in developing cutting-edge NLP and machine learning solutions by designing effective prompts, integrating RAG (Retrieval-Augmented Generation) systems, and contributing to the overall performance and reliability of AI-driven tools., Design, test, and optimize prompts for LLMs to achieve high-quality outputs across various use cases., Fine-tune pre-trained models using domain-specific data to improve accuracy and contextual understanding., Develop and implement solutions using Retrieval-Augmented Generation (RAG) and manage vector databases., Lead or contribute to the design and development of NLP, ML, and AI systems., Apply AI best practices to ensure fairness, transparency, and accountability in AI models and applications., Collaborate with cross-functional teams to align technical efforts with business goals., Write and maintain code in Python and work with tools like SQL, GitHub, CI/CD pipelines for effective development and deployment, Work with cloud platforms (Azure, GCP) for development, deployment, and scaling of AI models., Present technical concepts, solutions, and insights clearly to both technical and non technical stakeholders.] Requirements: Python, Machine learning, Deep learning, NLP, AI, SQL, GitHub, CD pipelines, Cloud, Azure, GCP Tools: Agile, Scrum. Additionally: Sport subscription, Training budget, Private healthcare, Life insurance, Free coffee, Free parking, Bike parking.