Experience:
Minimum of 3 years of professional experience in data science and NLP.
Proven experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
Experience in multilingual NLP projects and handling language-specific challenges. Experience implementing custom AI data retrieval systems.
Background in software localization or familiarity with localization processes is highly desirable.
Technical Skills:
Proficient in programming languages such as Python, Java, C++ or R.
Strong knowledge of NLP libraries and tools (e.g., NLTK, SpaCy, Hugging Face Transformers). Experience with big data technologies and data processing frameworks (e.g., Hadoop, Spark) a plus but not required.
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services.
Familiarity with AI model fine-tuning and data optimization. Experience working with continuous integration and delivery (CI/CD) pipelines.

Keyskills: Tensorflow NLP Multimedia systems RAG Pytorch Gen AI Natural Language Processing Diffusion
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