AI Product Data Manager

Upstage; Offre d’emploi; Hybride; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A technology company is seeking AI research engineers to tackle customer challenges using cutting-edge AI models. This role involves prototyping models, optimizing them for production, and addressing customer problems effectively. Successful candidates will have a strong background in machine learning algorithms and frameworks like TensorFlow or PyTorch. Excellent communication skills are essential. The position is full-time with a recommendation for remote work.

Qualifications

• Deep understanding of machine learning frameworks such as TensorFlow or PyTorch.
• Strong proficiency in at least one programming language like Python or C++.
• Great communication skills are essential for this role.

Responsabilités

• Prototype recent state-of-the-art AI models.
• Optimize models for production systems.
• Discuss efficient solutions for customer challenges.
• Develop top-performing AI models.

Connaissances

Understanding of recent machine learning algorithms

Ability to define and solve a machine learning problem

Strong proficiency in programming (Python, C++)

Great communication skills

Outils

TensorFlow

PyTorch

Description du poste

Upstage AI research engineers understand the challenges facing our customers and think about how our AI technology can solve their challenges. Based on your knowledge of AI, you define problems, prototype the latest AI models, and enhance models beyond state-of-the-art. You will also be encouraged to bring research results to the production level.

Responsibilities

• Prototype recent state-of-the-art models
• Optimize models so that they can run in production systems
• Discuss how to most efficiently solve customers' problems
• Develop the best AI models
• Be the real-full-stack-engineer – who is a developer, a researcher, a data scientist all at the same time – with awesome communication skills

Specialty areas

• Natural language processing
• Computer vision
• Recommender systems

Position types

• Full-time or Internship
• Remote work is recommended

Recruitment process

• Resume screening
• Online algorithm coding test
• Online culture interview
• Online technical interview
• Online executive interview

Required qualifications

• Understanding of recent machine learning algorithms
• Ability to define and solve a machine learning problem
• Deep understanding of major machine learning frameworks (ex: TensorFlow, PyTorch)
• Strong proficiency in at least one programming language (ex: Python, C++) and familiarity with Linux/Shell programming environments
• Great communication skills

Preferred qualifications

• Experience in developing large scale commercial ML/NLP products
• Strong publication records in top AI conferences
• High-ranked in AI competitions such as Kaggle