LLM Engineer @ AVENGA (Agencja Pracy, nr KRAZ: 8448)
(práce v Polsku)

LLM Engineer @ AVENGA (Agencja Pracy, nr KRAZ: 8448)

Polsko

-Minimum 3 years of hands-on experience with LLMs, NLP, or foundation model development in an industry setting 
-Deep understanding of transformer-based models and modern NLP techniques 
-Proficiency in Python and experience with common LLM/NLP libraries and frameworkS 
-Experience with fine-tuning and serving LLMs - MUST HAVE
-Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines
-Experience with MLOps, cloud infrastructure (AWS/GCP/Azure), and model deployment tools for LLM-based systems

What we offer:

• Deep understanding of the domain knowledge in the field of molecular biology and biotechnology
• Exposure and hands on experience in the development of modern cloud data solutions
• Ability to deliver AI and ML solutions at scale
• Opportunity to work in an experienced and engaged team consisting of Data Engineers, Data Scientists, Machine Learning Engineers and stakeholders from different business domains
• A long-term collaboration with opportunities for growth and development

,[Model Development & Fine-Tuning: Design, train, fine-tune, and evaluate large language models (LLMs) using domain-specific or proprietary data to meet business needs., Prompt Engineering: Craft, test, and optimize prompts to improve model outputs, LLM Integration: Deploy and integrate LLMs into production applications, including agentic solutions, RAG, chatbots, designing APIs, latency/throughput optimization, and monitoring., Research & Experimentation: Stay current with state-of-the-art LLM architectures and techniques, and evaluate their application for internal use cases., Stakeholder Collaboration: Collaborate with product, data, and engineering teams to translate business problems into LLM-powered solutions and communicate model limitations or trade-offs effectively.] Requirements: Use cases, NLP, Python, MLOps, Cloud, AWS, GCP, Azure, AI, Machine learning Tools: . Additionally: Sport subscription, Training budget, Private healthcare, Free coffee, Gym, Bike parking, Free snacks, Modern office, No dress code.

Kategorie

artificialIntelligence

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