Τι θα κάνεις
- Σχεδιάζεις, αναπτύσσεις και ενσωματώνεις μοντέλα Machine Learning σε παραγωγικά περιβάλλοντα.
- Δημιουργείς και συντηρείς Data pipelines και Workflows εκπαίδευσης μοντέλων για αξιόπιστες και αυτοματοποιημένες διαδικασίες.
- Αναπτύσσεις και βελτιώνεις την υποδομή MLOps για διαχείριση κύκλου ζωής, αυτοματοποίηση και παρακολούθηση μοντέλων.
- Γράφεις Python κώδικα παραγωγικού επιπέδου και αναπτύσσεις API ή services για τη διάθεση μοντέλων Machine Learning σε επιχειρησιακές εφαρμογές.
- Παρακολουθείς, αξιολογείς και επανεκπαιδεύεις συνεχώς τα μοντέλα για τη διατήρηση της ακρίβειας και της απόδοσής τους.
- Συνεργάζεσαι με μηχανικούς δεδομένων, ομάδες επισημείωσης, προγραμματιστές λογισμικού και Product Managers για την ευθυγράμμιση των λύσεων με τους επιχειρησιακούς στόχους.
- Συμμετέχεις σε ανασκοπήσεις κώδικα, τεκμηρίωση και καθορισμό βέλτιστων πρακτικών μηχανικής λογισμικού.
Βασικές προϋποθέσεις
- 5+ χρόνια εμπειρίας
- Python και Βιβλιοθήκες Machine Learning
- Ανάπτυξη και deployment μοντέλων Machine Learning
- MLOps με MLflow, Kubeflow και Airflow
- Data pipelines και Workflows εκπαίδευσης μοντέλων
- Cloud platforms και Ανάπτυξη API και services
- Παρακολούθηση και retraining μοντέλων, People management, Team leadership και Αναλυτική σκέψη και problem-solving
- Πληροφορική / Μαθηματικά / Στατιστική
Παροχές
- Θα ενταχθείτε σε μια αναπτυσσόμενη AI team ενός καθιερωμένου οργανισμού που μετασχηματίζει τις υπηρεσίες του μέσω της τεχνολογίας.
- Θα εργαστείτε σε end-to-end ML systems με ουσιαστικό business impact στους τομείς του automation και του document intelligence.
- Ο μικτός μηνιαίος μισθός ανέρχεται σε €3.500–€4.000.
Περιγραφή Θέσης
Our client is a leading Greek company specializing in information management and digital transformation. It provides solutions for document management, intelligent data processing, and secure information storage. Through advanced technologies and automation, the company helps organizations optimize workflows, ensure compliance, and improve operational efficiency across industries.
Language Requirement: English, Greek
Minimum Years of Experience: 5
Key Responsibilities
Design, develop, and integrate machine learning models into production environments.
Build and maintain data pipelines and model training workflows to ensure reliable and automated processes.
Develop and enhance the company’s MLOps infrastructure for model lifecycle management, automation, and monitoring.
Write production-grade Python code and build APIs or services that expose ML models to business applications.
Continuously monitor, evaluate, and retrain models to maintain accuracy and performance.
Collaborate with data engineers, annotation teams, software developers, and product managers to align solutions with business objectives.
Participate in code reviews, documentation, and the definition of engineering best practices.
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related discipline.
At least 5 years of hands-on experience developing and deploying machine learning models.
Proven people management or team leadership experience.
Strong proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).Solid understanding of MLOps tools and practices (e.g., MLflow, Kubeflow, Airflow).
Working knowledge of cloud platforms such as AWS, GCP, or Azure.
Excellent analytical thinking, problem-solving, and communication skills.
Fluent in English, both written and spoken.
Nice-to-Have Skills
Experience with document understanding, OCR, or NLP models.
Familiarity with containerization (Docker, Kubernetes) and CI/CD for ML pipelines.
Exposure to data governance, model monitoring, or AI observability tools.
Salary (Ind.): 3500-4000 € / Per month Gross
What They Offer
You’ll be part of a growing AI team within a well-established organization that is transforming its services through technology.
You’ll work on end-to-end ML systems, from data ingestion to deployment, with real business impact across automation and document intelligence domains.
If you’re passionate about building scalable ML products and want to see your models running in production, this is the right environment for you.
Περιγραφή Εταιρείας
Code.Hub is a Recruitment Agency, a Learning & Development partner, an Extended Team and Project Delivery expert in the Tech Industry.
We source and train the best candidates in Tech Industry.
With a team of 150+
- Tech-specific Recruiters
- Certified Trainers
- Software Development specialists
we are prepared for every challenge.
Using exclusively Agile methodologies, we help companies of all levels and technologies to extend their vision many step forward.
Περιγραφή Εταιρείας
Code.Hub is a Recruitment Agency, a Learning & Development partner, an Extended Team and Project Delivery expert in the Tech Industry.
We source and train the best candidates in Tech Industry.
With a team of 150+
- Tech-specific Recruiters
- Certified Trainers
- Software Development specialists
we are prepared for every challenge.
Using exclusively Agile methodologies, we help companies of all levels and technologies to extend their vision many step forward.