Junior GenAI Engineer - Remote Learning & Career Growth

Neotalent Conclusion; Lisboa; Remote; EUR 28,000 - 38,000; Full time

Benefits offered by this job

Remote work option

Continuous training & certifications

Internal mobility program

Career planning

Job summary

Neotalent Conclusion is seeking a Junior GenAI Engineer to join a leading technology company on exciting AI-driven projects. You will work with cutting-edge AI, data-driven solutions, and collaborate with cross-functional teams to deliver innovative results.

The role emphasizes hands-on development with Python and ML frameworks, cloud platforms, and continuous training. Remote work is possible, and a clear career plan with internal mobility opportunities is offered.

Qualifications

• Degree in Computer Science, Engineering, AI, or a related field.
• Understanding of machine learning concepts and techniques (supervised, unsupervised, NLP, or deep learning).
• Basic experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of data processing and analysis using tools like Pandas, NumPy, or SQL.
• Familiarity with cloud platforms (e.g., Azure, AWS, or GCP) is valued.
• Eagerness to learn new technologies and stay updated with AI advancements.
• Good communication and teamwork abilities to collaborate in a dynamic, innovative environment.
• Fluent in English (spoken and written).

Skills

Machine learning concepts

Python

ML frameworks

Data processing with Pandas/NumPy/SQL

Cloud platforms knowledge

Teamwork

Communication

English fluency

Education

Degree in Computer Science, Engineering, AI, or related field

Tools

TensorFlow

PyTorch

Scikit-learn

Pandas

NumPy

SQL

Azure

AWS

GCP

Job description

Neotalent Conclusion is seeking a Junior GenAI Engineer to join a leading technology company on exciting AI-driven projects. You will work with cutting-edge AI, data-driven solutions, and collaborate with cross-functional teams to deliver innovative results.

The role emphasizes hands-on development with Python and ML frameworks, cloud platforms, and continuous training. Remote work is possible, and a clear career plan with internal mobility opportunities is offered.