Data Scientist / Machine Learning Engineer

Axians Portugal

Lisboa

Presencial

EUR 50 000 - 70 000

Tempo integral

14 dias+

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Vantagens oferecidas por esta oferta de emprego

Jours de congé supplémentaires
+ 5 jours de congé parental
Plan d'options d'actions pour les employés
Programme d'assistance aux employés
Plan d'avantages flexibles
Assurance santé et vie

Resumo da oferta

Axians Portugal recherche un Machine Learning Specialist passionné par l'intelligence artificielle pour rejoindre l'équipe Social & Healthcare. Vous développerez des modèles de Machine Learning, notamment en NLP, en utilisant des technologies de pointe comme Vertex AI et Azure ML. Ce rôle dynamique vous permettra d'innover et de collaborer avec des équipes multidisciplinaires pour créer des solutions impactantes dans notre société.

Qualificações

  • Minimum de 5 ans d'expérience en Python et NLP.
  • Expérience avec des plateformes de cloud comme Vertex AI et Azure ML.
  • Passion pour l'IA et les technologies de pointe.

Responsabilidades

  • Développer et optimiser des modèles de Machine Learning axés sur le NLP.
  • Collaborer avec des équipes pour intégrer des modèles dans des produits réels.
  • Surveiller et améliorer la performance des modèles en production.

Conhecimentos

Python
Natural Language Processing (NLP)
MLOps
Analytical thinking
Communication skills
Problem solving

Ferramentas

TensorFlow
PyTorch
Vertex AI
Azure ML

Descrição da oferta de emprego

Data Scientist / Machine Learning Engineer
Data Scientist / Machine Learning Engineer

The world is more connected than ever, and the pace of change is bewildering. We deliver the best combination of technology and services to enable our clients to fulfil the diverse needs of their customers. By fostering a deep and personal relationship with our clients, we want to improve the lives of people and organizations.

Axians is the VINCI Energies brand dedicated to ICT and Digital Transformation. We’re present across 37 countries, with more than 16,000 employees and an annual revenue of more than 3.6 billion euros, in 2023.

We are looking for aMachine Learning Specialistwith solid experience inNatural Language Processing (NLP)to join ourSocial & Healthcareteam focused on technological excellence. If you’re passionate about Artificial Intelligence and enjoy working with cutting-edge technologies, this position is for you!

Main Responsibilities:

  • Develop and optimize Machine Learning models with a focus on NLP.
  • Implement MLOps pipelines for model automation and scalability.
  • Work with cloud platforms such asVertex AIandAzure MLfor solution development and deployment.
  • Collaborate with multidisciplinary teams to integrate models into real-world products.
  • Continuously monitor and improve the performance of models in production.
  • Minimum of5 years of experiencewith Python and libraries such as:
  • TensorFlow
  • PyTorch
  • Proven experience inNLP, including tasks such as text classification, sentiment analysis, language generation, among others.
  • Strong knowledge ofMLOpsand the full lifecycle of ML models.
  • Hands-on experience withVertex AI (Google Cloud)andAzure ML (Microsoft Azure).
  • Analytical thinking and critical mindset.
  • Good communication skills and team spirit.
  • Proactivity and a passion for solving technical challenges.
  • Continuous interest in new technologies and AI trends.
  • Experience in Governmental projects

What we offer:

  • Extra days off.
  • + 5 extra days of parental leave.
  • Internal mobility cross geography, role or industry.
  • Employee Stock Options plan.
  • Employee Assistance Program.
  • Flex Benefits Plan.
  • Health and Life Insurance.

Opportunity to develop solutions on critical services in our society – design a better future for all!

If you meet the requirements above, apply now!

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    IT Services and IT Consulting

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