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GenAI Engineers
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GenAI Engineers
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Doświadczenie: Wymagane
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Wymiar pracy: Pełen etat
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Typ rekrutacji: Rekrutacja on-line
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UPVANTA SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
Podobne ogłoszenia
Opis
- Utilize experience with Azure for deploying and managing AI solutions.
- Solve problems and perform data analysis to translate business requirements into technical solutions.
- Work with vector embeddings and perform prompt engineering.
- Apply in-depth knowledge of machine learning, deep learning, and generative AI techniques in the development of solutions.
- Ensure adherence to Trusted AI practices, such as fairness, transparency, and accountability in AI models and systems.
- Apply NLP techniques and frameworks such as BERT, GPT, or Transformer models in practical implementations.
- Drive innovation and remain updated on the latest AI research and advancements.
- Communicate and collaborate effectively with stakeholders at various organizational levels.
- Collaborate closely with software engineering and operations teams to ensure seamless integration and deployment of AI models.
- Implement and enhance solutions based on Generative AI.
- Conduct data engineering tasks, including data curation, cleaning, and preprocessing for analysis.
- Program in Python using frameworks such as TensorFlow or PyTorch.
Wymagania
- Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
- Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines
- In-depth knowledge of machine learning, deep learning, and generative AI techniques.
- Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
- Knowledge and experience in Generative AI.
- Minimum 3 years of experience in Data Science and Machine Learning.
- Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
- Track record of driving innovation and staying updated with the latest AI research and advancements.
- Implement monitoring and logging tools to ensure AI model performance and reliability
- Experience with Azure.
- Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
- Proficiency in Python programming language, and frameworks like TensorFlow or PyTorch.
- Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Expertise in data engineering, including data curation, cleaning, and preprocessing.
- Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
- Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems
- Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI
- Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
- Experience with ElasticDB or similar for data storage and retrieval.
- Ability to work with vector embeddings and perform prompt engineering.
Benefity
- W pełni zdalną pracę – elastyczne godziny.
- Udział w rozwoju nowoczesnych rozwiązań technologicznych.
- Współpracę na zasadach B2B z atrakcyjnym wynagrodzeniem.
- Pracę w dynamicznym i międzynarodowym środowisku.
Aplikujesz na:
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