AI Engineer – NLP, Large Language Models Specialist
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Job Description
AI Engineer developing NLP and LLM applications for DOTSOFT, a Greek ICT innovator. Building assistants, chatbots, semantic search, and multilingual AI solutions.
Responsibilities:
- Σχεδιασμός και ανάπτυξη λύσεων NLP με χρήση Large Language Models (π.χ. OpenAI, HuggingFace Transformers, LLaMA, Mistral κ.ά.).
- Fine-tuning και βελτιστοποίηση προεκπαιδευμένων μοντέλων σε εξειδικευμένα datasets.
- Ανάπτυξη pipelines για data preprocessing, training, evaluation και deployment σε cloud/edge περιβάλλοντα.
- Συμμετοχή σε έργα R&D που ενσωματώνουν AI σε επιχειρησιακές και ερευνητικές πλατφόρμες.
- Συνεργασία με Software Engineers, UI/UX Designers και Systems Architects για την ολοκληρωμένη υλοποίηση λύσεων.
- Συμβολή στη συγγραφή τεχνικών παραδοτέων και τεκμηρίωσης AI modules.
- Παρακολούθηση εξελίξεων στον χώρο του NLP & LLMs και εισαγωγή νέων μεθοδολογιών.
- Ανάπτυξη εξατομικευμένων ψηφιακών βοηθών, συστημάτων αυτόματης παραγωγής και ανάλυσης κειμένου, chatbots/conversational agents και εργαλείων semantic search.
Requirements:
- Πτυχίο ΑΕΙ σε Πληροφορική, Ηλεκτρολόγων Μηχανικών ή συναφές πεδίο Πληροφορικής / τεχνολογίας Υπολογιστών.
- Απαραίτητο Μεταπτυχιακό σε Τεχνητή Νοημοσύνη.
- Επαγγελματική ή ερευνητική εμπειρία σε έργα NLP και Machine Learning.
- Άριστη γνώση Python και ML libraries (π.χ. TensorFlow, PyTorch, HuggingFace Transformers).
- Εμπειρία σε fine-tuning και ανάπτυξη εφαρμογών βασισμένων σε LLMs.
- Κατανόηση αρχών Deep Learning, language embeddings, semantic search και conversational AI.
- Εμπειρία σε χρήση APIs μεγάλων μοντέλων (π.χ. OpenAI API) και ανάπτυξη custom λύσεων.
- Εξοικείωση με cloud περιβάλλοντα (AWS, Azure, GCP) ή on-premise AI deployment.
- Ικανότητα συγγραφής τεχνικής τεκμηρίωσης στα Αγγλικά.
- Εμπειρία σε multilingual NLP projects ή επεξεργασία ελληνικής γλώσσας.
- Καλή γνώση MLOps πρακτικών (Docker, Kubernetes, CI/CD pipelines).
- Εμπειρία σε AI Ethics, Explainability (XAI) και Responsible AI.
- Συμμετοχή σε ερευνητικά έργα ή ανάπτυξη prototypes στο πλαίσιο R&D.
- Κατανόηση αρχιτεκτονικών Retrieval-Augmented Generation (RAG).
- Εμπειρία σε vector databases (π.χ. FAISS, Pinecone).
Benefits:
- Συμμετοχή σε πρωτοποριακά έργα με έμφαση στην Τεχνητή Νοημοσύνη και το NLP.
- Συνεχής επαγγελματική ανάπτυξη μέσω ενασχόλησης με σύγχρονες AI τεχνολογίες.
- Συνεργασία με διεπιστημονικές ομάδες σε διεθνές περιβάλλον.
- Δυνατότητα συμβολής στη διαμόρφωση καινοτόμων λύσεων που αξιοποιούν τις τελευταίες εξελίξεις στον χώρο των LLMs.
- Employees can work remotely
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