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Artificial Intelligence Manager (M/F/X)

On-site in aveiro norte·Full-time·Added today (last checked 13 Nov)

Agency
Randstad Portugal

1011 open roles

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Our summary

Salary
€28,000 a year
Contract
Full-time

Skills

This job advert was originally written in Portuguese.

Requirements

What we're looking for

higher education in Computer Engineering, Electrical Engineering, Data Science, or a similar field;

proven experience in AI and Machine Learning projects in industry (preferred);

experience in computer vision applied to industry;

experience in managing technical teams;

knowledge of AI integration with automation systems and PLCs;

solid knowledge of Python, ML frameworks (TensorFlow, PyTorch, or similar);

experience with cloud computing (AWS, Azure, or Google Cloud);

leadership capacity and technological project management;

strategic thinking and results orientation;

interpersonal skills and teamwork;

proactivity and dynamism.

Pay & benefits

What you'll get

salary range - 21,000 to 28,000 euros gross per year;

randstad's mission is to become the most equitable and specialized talent company worldwide and, therefore, we reiterate that we welcome people with the most diverse abilities and experiences. we are committed to ensuring that our recruitment and hiring process meets the needs of all people. if you require any adaptation to make your application or interview more comfortable, please do not hesitate to inform our recruitment consultants.

The role

our client is a company specializing in industrial automation solutions, digitalization, and Industry 4.0, which intends to strengthen its structure with an artificial intelligence manager (m/f/x). this professional will have a strategic role in the integration of AI solutions into our projects and internal processes.

What you'll do

  • define and implement the company's Artificial Intelligence strategy;
  • identify opportunities for AI application in industrial and automation projects;
  • coordinate Machine Learning, Computer Vision, and data analysis projects;
  • work together with the engineering, software, and automation teams;
  • evaluate and select technologies, tools, and technological partners;
  • ensure the security, ethics, and compliance of AI solutions;
  • monitor technological trends and propose continuous innovation.

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