Aktualne oferty pracy związane z Advanced AI and ML Engineer - Warszawa, Mazovia - Sii Sp. z o.o.
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4 dni temu
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4 tygodni temu
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ML Engineer, Generative AI Innovation Center
1 tydzień temu
Warszawa, Mazovia, Polska ENGINEERINGUK Pełny etatML Engineer, Generative AI Innovation CenterDESCRIPTIONThe Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy...
Advanced AI and ML Engineer
2 tygodni temu
About the Job: We are seeking an experienced Large Language Model (LLM) expert to join our team as an AI Solutions Architect. In this role, you will be responsible for designing, developing, and deploying advanced AI and machine learning systems using LLMs, with a focus on LLM Agents and Graph-based Retrieaugmented Generation (RAG).
Main Responsibilities:
- Develop cutting-edge AI solutions using LLMs, LLM Agents, and Graph ML.
- Implement production-ready applications that leverage the latest technologies to deliver impactful AI products.
- Collaborate with customers to gather requirements, understand their business needs, and ideate on potential AI solutions.
- Stay current with AI research by exploring and experimenting with new approaches in LLMs, Graph ML, Agents, and RAG.
- Evaluate new tools, frameworks, and methodologies to ensure the AI team uses the best technology available.
Required Skills and Qualifications:
- Over 5 years of experience working on applied AI projects or exceptional knowledge (PhD is a plus).
- In-depth knowledge of Large Language Models, Knowledge Graphs, and Agent systems.
- Excellent communication skills in a customer-facing role.
- Ability to rapidly prototype and iterate on innovative solutions.
- Proficiency in the LLM AI Python ecosystem, including frameworks such as HuggingFace, PyTorch, TensorFlow, LangChain, LangGraph, LlamaIndex, and others.
- Hands-on experience with major cloud platforms, including AWS, GCP, and Azure.
- Able to work independently while guiding and mentoring AI teams.
Benefits and Perks: A great place to work, with a stable and secure environment, attractive benefits, and opportunities for growth and development.
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