Aktualne oferty pracy związane z Machine Learning Engineer Opportunity - Kraków, Lesser Poland - ZEN

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    4 godzin temu

    Kraków, Lesser Poland Vertex Agility Pełny etat

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Machine Learning Engineer Opportunity

1 tydzień temu

Kraków, Lesser Poland ZEN Pełny etat

ZEN is revolutionizing the AI landscape by pioneering a unique product aimed at harnessing the potential of artificial intelligence. Our talented team is dedicated to crafting innovative machine learning solutions that have a tangible impact. By leveraging our platform, users and businesses can unlock the power of AI without requiring extensive technical expertise, while hardware owners can earn money from sharing their computing resources.

Main Responsibilities:
  • Design, develop, and maintain microservices that expose APIs to Machine Learning models.
  • Optimize web services to ensure high performance and responsiveness.
  • Seamlessly integrate Machine Learning models into various applications.
  • Work closely with teammates to create scalable AI solutions.
  • Troubleshoot and debug application and service issues efficiently.
Key Requirements:
  • At least 5 years of experience in Python development, with a total of no less than 8 years in software engineering.
  • Proficiency in developing and deploying API or web applications using frameworks such as FastAPI, Flask, or Django.
  • In-depth knowledge of Machine Learning libraries including TensorFlow, PyTorch, and their integration with applications.
  • Hands-on experience integrating with LLM services using tools such as langchain.
  • Experience with containerization tools like Docker.
  • Strong understanding of software architecture, microservices, and API design principles.
  • Experience with cloud platforms, especially AWS.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills within a team.
  • Mandatory fluency in English.
Nice to Have:
  • Familiarity with MLOps practices.
  • Knowledge of DevOps principles, CI/CD pipelines, and Kubernetes.
  • Understanding of concepts related to LLMs, e.g., RAG, vector DBs, embeddings, prompt engineering, multi-agent systems.
What We Offer:
  • Competitive compensation and benefits package.
  • Chance to work with cutting-edge AI technologies.
  • A supportive and collaborative team environment.
  • Opportunities for career growth in a rapidly expanding project.