GenAI Engineers

To qualify for the role, you must have

· Minimum 3 years of experience in Data Science and Machine Learning.

· In-depth knowledge of machine learning, deep learning, and generative AI techniques.

· Knowledge and experience in Generative AI.

· Proficiency in Python programming language, and frameworks like TensorFlow or PyTorch.

· Ability to work with vector embeddings and perform prompt engineering.

· Experience with Azure.

· Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.

· Expertise in data engineering, including data curation, cleaning, and preprocessing.

· Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.

· Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.

· Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.

· Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.

· Track record of driving innovation and staying updated with the latest AI research and advancements.

· Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Ideally, you’ll also have

· 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

· Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines

· Implement monitoring and logging tools to ensure AI model performance and reliability

· Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.

· Experience with ElasticDB or similar for data storage and retrieval.

· Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.

Oferujemy:

⭐ W pełni zdalną pracę – elastyczne godziny.

⭐ Współpracę na zasadach B2B z atrakcyjnym wynagrodzeniem.

⭐ Pracę w dynamicznym i międzynarodowym środowisku.

⭐ Udział w rozwoju nowoczesnych rozwiązań technologicznych.

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