AI Deep Learning Engineer - Lisbon, Visa Sponsorship

VitalEssence Spa; Lisboa; Presencial; EUR 13 000 - 17 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Visa sponsorship

Competitive salary

Startup environment

Growth opportunities

Resumo da oferta

VitalEssence Spa in Lisbon, Portugal, is seeking an AI Deep Learning Engineer to design and deploy advanced deep learning models. You will work on image recognition, NLP, and predictive analytics, collaborating with a fast-growing startup focused on AI-driven solutions.

The role requires 2+ years of DL experience, strong Python skills, and familiarity with TensorFlow or PyTorch. You will join a team that values research, innovation, and scalable solutions in a dynamic environment.

Qualificações

• Bachelor's or Master's degree in CS/Engineering or related field.
• Minimum 2 years in designing and implementing DL solutions.
• Strong Python programming skills and ML fundamentals.
• Experience with TensorFlow or PyTorch.
• Ability to work independently and in fast-paced environments.
• Excellent problem-solving and attention to detail.

Responsabilidades

• Develop and implement deep learning models for various applications.
• Collaborate with cross-functional teams to identify use cases.
• Stay updated with latest DL research and apply it to projects.
• Optimize models for performance and scalability.
• Train and evaluate models on large datasets.
• Communicate complex ideas clearly to stakeholders.

Conhecimentos

Python

Deep learning

Model development

Research

Team collaboration

Formação académica

Bachelor's or Master's in CS/Engineering

Ferramentas

TensorFlow

PyTorch

Git

Descrição da oferta de emprego

VitalEssence Spa in Lisbon, Portugal, is seeking an AI Deep Learning Engineer to design and deploy advanced deep learning models. You will work on image recognition, NLP, and predictive analytics, collaborating with a fast-growing startup focused on AI-driven solutions.

The role requires 2+ years of DL experience, strong Python skills, and familiarity with TensorFlow or PyTorch. You will join a team that values research, innovation, and scalable solutions in a dynamic environment.