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GenAI Tech Specialist

Applications are closed

  • Job
    Full-time
    Senior Level
  • Data
    IT & Cybersecurity
  • Porto

Requirements

  • Extensive experience in developing and deploying GenAI solutions, with a focus on areas such as image generation, text generation, and creative applications;
  • Proficiency in programming languages and technologies commonly used in GenAI development, such as Python and TensorFlow/PyTorch;
  • Strong understanding of machine learning principles and techniques, particularly in the context of generative models;
  • Excellent problem-solving skills and ability to think creatively to overcome challenges;
  • Effective communication skills with the ability to convey complex technical concepts to non-technical stakeholders;
  • Proven track record of successfully delivering AI projects from conception to deployment;
  • Experience with cloud computing platforms and distributed computing frameworks is a plus;
  • A real thirst for knowledge and to stay ahead of the latest trends makes you an active curious and inventive thinker. You´re not afraid to try something new;
  • A natural inclination to work on a collaborative environment, and the willingness to work on a broad variety of projects.

Responsibilities

  • Develop and implement cutting-edge GenAI solutions tailored to specific business needs and objectives;
  • Collaborate with cross-functional teams to integrate GenAI technology into existing systems and processes;
  • Conduct research and experimentation to explore new GenAI techniques and algorithms;
  • Optimize GenAI models for performance, scalability, and efficiency;
  • Provide technical expertise and guidance to colleagues and stakeholders on GenAI-related projects;
  • Stay updated on the latest developments and trends in GenAI technology and contribute insights to the team;
  • Document methodologies, findings, and best practices for knowledge sharing and future reference.

FAQs

What qualifications are required for the GenAI Tech Specialist position?

A Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a similar field is required.

What experience should I have to apply for this role?

Applicants should have extensive experience in developing and deploying GenAI solutions, particularly in areas such as image generation and text generation.

Which programming languages and technologies should I be proficient in?

Proficiency in programming languages and technologies commonly used in GenAI development, such as Python and TensorFlow/PyTorch, is essential.

Is experience with cloud computing platforms necessary?

Experience with cloud computing platforms and distributed computing frameworks is a plus but not mandatory.

What kind of projects will I be working on?

You will work collaboratively with a cross-functional team supporting initiatives that define the next generation of embedded and real-time systems.

What are the key responsibilities of the GenAI Tech Specialist?

Key responsibilities include developing and implementing GenAI solutions, collaborating with teams, conducting research, optimizing models, and providing technical guidance on GenAI-related projects.

How does Vortex-CoLab foster innovation and collaboration?

Vortex-CoLab combines motivated individuals with academic insights and business mindsets, providing a collaborative environment to tackle technology challenges together.

What qualities are Vortex-CoLab looking for in candidates?

Candidates should have excellent problem-solving skills, effective communication abilities, a thirst for knowledge, and a natural inclination to work in a collaborative environment.

What is the overall culture like at Vortex-CoLab?

The culture at Vortex-CoLab is dynamic and encourages active learning, innovation, and teamwork to deliver world-class solutions that transform technology usage.

Capgemini Engineering, the leader in engineering and R&D services, helps clients unleash their R&D potential.

Technology
Industry
10,001+
Employees

Mission & Purpose

World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has 60,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet. Capgemini Engineering is an integral part of the Capgemini Group, a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.