Senior Machine Learning Engineer or Data Scientist with a focus on NLP

Gavagai provides groundbreaking text analysis technology to create valuable customer insights from what your customers are saying to you. By continuously tracking customer feedback using our service, you will understand your customer better which translates to immediate competitive advantage. Together with our skilled partners, we create customer experience solutions for all types of industries.

Your role

Your main responsibility is to operationalize the results of strategic investigations and experiments. Your responsibilities include: setting up and maintaining MLOps pipelines for training, deploying and monitoring models for tasks such as sentiment analysis, text classification, and named entity recognition. We estimate that your time will be roughly 40/60 split between strategic investigations/experiments and product development.

Requirements

We expect you to have at least five years experience, and want you to have experience from working with the following technologies and methods:

• Agile software development/engineering.
• Micro service-based architecture (k8s/Docker).
• Python, sklearn, transformer-based models, familiarity with Huggingface Hub.
• Proven track record of creating and deploying NLP-related machine learning models.
• Test-driven methodologies.

Nice to have

• Enterprise Java.
• Speaker of multiple languages.

In addition, you should:

• Be curious, eager to learn, and willing to share your knowledge.
• Have an interest in data driven business value creating and its challenges.
• Have experience in working directly with customers.
• Be a team player.

Gavagai is a company with a highly motivated, skilled, and driven team. We use standard and best practice methodologies and tools to accomplish high performance and mission critical functionality. We compensate high performing individuals according to the market value. We have headquarters in downtown Stockholm and a development team in Barcelona. This position can be located in either Stockholm, Barcelona or at your own location. We work central european time.

We would like you to be part of our team as soon as possible.