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AI / ML Engineer @

2 weeks ago

Remote, Czech Republic AVENGA Full time
  • 3+ years of experience in AI/ML engineering with LLM-based applications.
  • Proficiency in Python, PyTorch, TensorFlow, and Transformer architectures.
  • Experience with LangChain and Retrieval-Augmented Generation (RAG) systems.
  • Strong MLOps knowledge (CI/CD, containerization, orchestration, Infrastructure as Code).
  • Expertise in deploying AI models on AWS/Azure and using tools like Azure OpenAI, Amazon Bedrock, and SageMaker JumpStart.
  • Hands-on experience with structured and unstructured data, vector databases, and data lakes.
  • Strong problem-solving and analytical skills.
  • English proficiency (C1)
,[Develop and integrate Generative AI and LLM-based applications in Agile teams., Design, customize, and optimize AI algorithms for text generation, summarization, chatbots, and AI agents., Fine-tune pre-trained LLMs using prompt engineering, transfer learning, and few-shot learning., Build and maintain end-to-end ML pipelines, automating workflows with MLOps best practices., Optimize model performance, inference speed, and resource usage on cloud (AWS, Azure) and GPU/TPU architectures., Deploy AI models at scale, ensuring high availability and fault tolerance., Implement continuous monitoring, model refinement, and bias correction., Apply software engineering best practices, including CI/CD, containerization, and API development.] Requirements: AI, MLOps, AWS, Azure, GPU Additionally: Sport subscription, Training budget, Private healthcare, International projects.