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.

Jeśli szukasz nowych wyzwań i chcesz rozwijać swoje umiejętności w międzynarodowym zespole – aplikuj już teraz!