Expert AI & Data Science Engineer

We are looking for an Expert AI & Data Science Engineer - GenAI to join the IT team of our client - a company specialized in the Telecom sector.

What will be your main tasks and responsibilities?

* Develop and operationalize machine learning and generative AI models for high-impact business use cases;

* Design and implement data science models, including feature engineering and rapid prototyping;

* Build and automate AI pipelines, integrating them into business processes and tools;

* Manage the full AI lifecycle, including MLOps, monitoring, retraining, and governance alignment;

* Design and deploy GenAI applications for use cases such as content summarization, intelligent document processing, and chatbot assistants;

* Ensure performance optimization and cost-efficiency of AI models in cloud environments;

* Collaborate with data engineers and architects to align AI components with enterprise data architecture;

* Work closely with BI and automation teams to operationalize AI insights across platforms;

* Contribute to the standardization of reusable GenAI components, prompts, and evaluation techniques;

* Ensure alignment with responsible AI guidelines, data privacy requirements, and IT security standards;

* Translate complex AI models into actionable business insights through compelling storytelling;

* Monitor new trends in GenAI and identify opportunities for innovation and impact.

What will be required from you?

* Degree in Data Science, Computer Science, Statistics, or a similar area;

* At least three years of experience in building and deploying machine learning models, preferably with cloud-based AI services, preferably on Google Cloud Platform (e.g. Vertex AI, AutoML, BigQuery ML);

* Strong proficiency in Python, with experience in ML and GenAI libraries (e.g. scikit-learn, TensorFlow, Hugging Face, OpenAI SDK);

* Experience developing and deploying LLM-based applications (chatbots, summarizers, semantic search);

* Knowledge of MLOps and GenAIOps workflows, model retraining, and monitoring;

* Understanding of GenAI architectural patterns such as RAG, agentic workflows, and embedding stores;

* Strong command of SQL and working with structured and semi-structured data;

* Familiarity with APIs and tools for integrating GenAI capabilities into enterprise applications;

* Extensive professional experience in distributed, multinational and complex organizations;

* Strong stakeholder communication skills, including the ability to explain AI/GenAI capabilities and limitations;

* Curiosity, adaptability, and a drive to stay ahead of AI innovation trends;

* Fluency in English both written and spoken.

Sounds like you? Send us your CV and let's talk!

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