Senior ML Scientist (NLP)

Senior Machine Learning Scientist – NLP 

Kon'nichiwa! 

We are currently managing a Senior Machine Learning Scientist role for the leading provider of business sustainability ratings based in Barcelona! 

Responsibilities:   

• Working with large, complex data sets to solve challenging business problems by applying advanced analytical methods as needed.

• Articulating and translating business questions into technical solutions.

• Leveraging Python, MLflow,  Azure stack (e.g., Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end solutions.

• Building, benchmarking, and maintaining machine learning models.

• Promoting best practices in machine learning.

• Staying in close contact with customers to evaluate their needs and recommend solutions that increase customer satisfaction and drive business value.

• Staying on top of technology trends in the area of, but not limited to, AI and ML and apply this knowledge to the key challenges ahead of the Company.. 

Requirements: 

• PhD or Master’s degree in quantitative discipline (e.g., Statistics/Applied Math, Artificial Intelligence, Computer Science, Data Science, Physics).

• 5+ years of overall experience in machine learning and data mining techniques.

• Demonstrable experience in using  machine learning techniques and algorithms for classification/regression problems in industry.

• Proficiency in Python and ML frameworks and libraries (e.g., TensorFlow, PyTorch).

• Excellent understanding of architectures used in NLP, such as transformers and RNN models, and NLP tasks (e.g., named entity recognition(NER),  entity linking, question answering, semantic search).

• Ability  to independently design testable software components in well scoped scenarios, with simplicity, observability and maintenance as key considerations, and to apply best ML and software development practices.

• Experience of cross-functional collaboration in the development of ML products and services (e.g., Engineers, Product Managers) is a plus.
   

Benefits:

• Open salary + variable compensation plan
• Casual and very friendly work environment
• Hybrid work organization (from the office or from home)
• Flexible working hours
• Home office allowance program
• IT equipment allowance
• Working from anywhere policy
• Opportunity to work in a truly international atmosphere
• Health, Wellness, and Dental Benefits

If you believe you are the ideal candidate for the Senior Machine Learning Scientist role do not hesitate to apply to the offer with your LinkedIn profile or uploading your CV. 

We will contact you very soon! 

Truthfully, your People Partner