• Multinational Company-Automotive Sector
• GenIA, Azure, AI, RAG, MLOps, LLM's

¿Dónde vas a trabajar?

Multinational Company-Automotive Sector (Final Company)

Descripción

The Data Scientist / MLOPs Engineer will be responsible for the support the Strategy & Transformation`s Department in analyse, understand and draw conclusions of the data obtained by our Corporate and Business Units. Identifying methods for analysis, develops and performs data analysis.

Main responsibilities:

• Analyze, understand and draw conclusions from the corporate Data Lake and external databases
• Understand and prepare the data to carry out the models involved in our solutions.
• Design / Develop / Manage and Monitor of applications based on advanced analytics and Machine Learning using the BigData ecosystem, actively participating in the design and analysis of algorithms to solve specific company problems.
• Algorithm automation, CI/CD of developed algorithms in production environment.
• e, measurement and graphical visualization of performance to enable validations of strategies.
• Evaluate software frameworks, libraries and tools (including prototyping).

¿A quién buscamos (H/M/D)?

The Data Scientist / MLOPs Engineer will have the following experience and qualifications:

• At least 3 years of professional experience as a Data Scientist. Working with SQL and scripting languages such as R, Python and Scala
• In-depth understanding of machine learning models, their mathematical foundations and practical experience with their development.
• Strong knowledge of cloud technologies, especially Microsoft Azure Cloud
• Desirable experience in Generative AI and CHATGPT prompts ideation and implementation
• Ability to build ML models.
• English: Advanced.
• Good understanding of Commercial processes, especially in digital and/or in the automotive sector and experience with analytics in this area will be desirable.
• Analytical thinking and ability to independently steer complex products.
• Excellent team-player and problem-solving skills

¿Cuáles son tus beneficios?

Interesting professional oppportunity

Hybrid model