Data Scientist / Machine Learning Engineer

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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