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AI Engineer

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Companie :
Orange Services
Functia Jobului :
Inginerie & tehnologie
Locatie :
Tip job :
Program Full Time
Descriere:


How would you like to work in IT, toying with cutting edge technologies and enjoying your life? At Orange Services, it’s possible!

As one of the largest IT Hub within Orange Group, we are working internationally for both Orange corporate functions and country operations. Through a unique combination of know-how and expertise, our teams provide a broad range of IT & Business Solutions.

Come closer to #LifeAtOrange!


What we’re looking for


Data&AI is one of the 3 pillars of Orange Group`s “Engage 2025” program, with the ambition to accelerate the dissemination of technological know-how, both on applications and on algorithms and tools, with all the group's subsidiaries and business divisions. In this context, a brand new expertise center is being built in Romania; the team will start by supporting Orange Romania on 3 strategic initiatives, and will grow to cover other initiatives, but also other Orange Affiliates. The 3 initial initiatives are centered on Hybrid Cloud-based Data & AI Ecosystem Transformation, Data & AI Operations Efficiency Use Cases implementation and Data Governance Framework Implementation.


What you’ll be doing


  • Design and implement end-to-end AI/ML architectures by understanding the overall flow: infrastructure, and business priorities, leveraging tools for model development, experiment tracking, optimization, and deployment of large-scale AI systems
  • Directly help the company transform its business and solve complex problems by leveraging Machine Learning, combined with other types of Advanced Analytics techniques to build models aiming to solve a large swath of business problems
  • Define and deliver customized, telecom industry-specific solutions using knowledge of cloud and on-premise platforms, advanced analytics, and AI capabilities
  • Ability to innovate and design solutions according with market trends and Telecom best practices


What you need to know/have


  • Very good knowledge in Python (OOP, design patterns, clean code principles), SQL, Google Cloud Platform (GCP)
  • To have experience with at least one of: RAG, AI Agents(LangGraph, LangChain, LlamaIndex, LiveKit), Speech Recognition & Text-to-Speech (TTS/STT)
  • Docker is a core requirement — design, containerize, and manage AI/ML workloads using Docker, with good working knowledge of designing and maintaining CI/CD pipelines
  • Provision and manage AI/ML infrastructure using Infrastructure as Code (IaC) tools, with Terraform as a nice-to-have
  • Have good experience in training, validation, and deployment using tools such as MLflow/Kubeflow and applying advanced predictive modeling, optimization, and machine learning techniques including:
  • Clustering and dimensionality reduction
  • Decision tree learning
  • Deep learning networks
  • Natural Language Understanding


What’s in it for you:


  • Performance Bonuses – based on your results & the company’s;
  • Electronic Meal Tickets
  • Medical & Life insurance for you - facilities for your family, too;
  • #WFH & Flexible hours;
  • Professional GSM subscription;
  • Personal GSM subscription, also [because we believe in communication!];
  • Special grants on Smartphones & devices; discounts for Orange products & services;
  • Development Platforms - Orange Learning, Trainings, Career Counselling, Coaching & Career plan mentoring;
  • Wellbeing Programs – we support your Zen;


Orange Services is about bringing together people and technology.

Come & work for a #TopEmployer company. You could be part of an organization where great colleagues and team spirit support your professional development.

At Orange, you can.


We encourage all candidate profiles, regardless of gender, age, race, citizenship, ethnicity, color, language, religion, social origin, genetic traits, sexual orientation, permanent or temporary disability, nationality, political choice, social category or social origins, situation or family responsibility, belonging to a disadvantaged category, membership or trade union activity.


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