ML Researcher: Innovate AI for Real-World Impact

Hire Feed; Napoli; Remoto; EUR 60.000 - 95.000; Tempo pieno

Descrizione del lavoro

Hire Feed in Napoli is seeking a Machine Learning Researcher for a full-time role focused on advancing ML models and algorithms to solve real-world problems. You will design, implement, and evaluate novel AI solutions within a high-impact environment.

The ideal candidate will design experiments, explore new AI approaches, and work with cross-functional teams to deploy solutions into production, while effectively communicating findings to stakeholders.

Competenze

• Proficiency in Python and ML frameworks such as TensorFlow or PyTorch.
• Strong background in applied mathematics, statistics, or a related quantitative field.
• Experience with natural language processing, computer vision, or other specialized AI domains.
• Ability to design and conduct experiments to evaluate model performance and accuracy.
• Familiarity with data preprocessing, feature engineering, and model optimization techniques.
• Experience with cloud platforms and distributed computing for scalable ML model training.

Mansioni

• Design and develop machine learning models and algorithms to address specific business challenges.
• Conduct research to improve existing models and explore new approaches in AI and machine learning.
• Collaborate with cross-functional teams to integrate machine learning solutions into production systems.
• Analyze large datasets to identify patterns and trends that inform model improvements.
• Document research findings and present results to stakeholders in a clear and actionable manner.

Conoscenze

Python

ML frameworks

Applied math

NLP/CV

Experiment design

Cloud computing

Descrizione del lavoro

Hire Feed in Napoli is seeking a Machine Learning Researcher for a full-time role focused on advancing ML models and algorithms to solve real-world problems. You will design, implement, and evaluate novel AI solutions within a high-impact environment.

The ideal candidate will design experiments, explore new AI approaches, and work with cross-functional teams to deploy solutions into production, while effectively communicating findings to stakeholders.