This is a remote position.

Rinf.tech is a technology consulting and software services company. Founded in 2006 in Romania, we have grown into a global organization with 600+ engineers and 8 Delivery Centers in Europe and North America (Romania, Bulgaria, Ukraine, Turkiye, and Mexico).

We offer custom software solutions and support for our worldwide partners through three main Business Units: Business Applications, R&D Embedded, Robotics, and Automotive.

At Rinf.tech, you’ll come across friendly people and a genuine way of thinking. RINFers are eager to learn from each other, explore and reinvent the world of technology.

We have an inspiring place to share ideas and build amazing products together:www.rinf.tech.

What you will be working on

We work in a fun and creative environment and we’re dedicated to bringing out the best in both our relations and our projects, ranging from enhancing our virtual assistants in production via innovative NLP techniques such as Generative AI and Large Language Models, to building speech analytics use cases across the world.

The Mission

The Customer Dialogue Analytics is part of the COO Analytics tribe of the global Analytics Unit based in Amsterdam that has the mission to make the client leading in human computer interaction. We do this by combining multiple technologies to deliver high value solutions and products for our organization.

What you’ll do

• Design and implementation of solutions using Generative AI and LLM technologies
  
• Developing production level NLP models
  
• Working with ML Engineers to productionize your developed NLP models
  
• Using the cutting-edge NLP and conversational AI frameworks and technologies such as Large Language Models and Generative AI
  
• Following best practices in developing ML code and ML software tests
  
• Making design and technical decisions for conversational systems projects. Supporting local teams in several countries and their projects. Participating in design, analysis, and interpretation of business hypotheses and exploring datasets. Recommending ideas to the business based on data.
  
• Assisting your model users to understand the data science principles and when needed explaining the model behavior and possible corrective actions.
  

What you offer us

• A minimum of 3 years experience in building Natural Language Processing or Information Retrieval pipelines and models
  
• Python –strong programming skills, experience in delivering production grade code, and reasonable SQL understanding
  
• Machine Learning: in-depth understanding of algorithms like Conditional Random Fields, Transformers, Recurrent Neural Networks, and Convolutional Neural Network,
  
• Can build an “end-to-end ML software product” which has NLP/IR component
  
• Experience with Deep Learning frameworks like Tensorflow and PyTorch
  
• Familiarity with Agile Scrum way of working
  

Nice to have

• Experience with Google Cloud Platform
  
• Experience with operationalization of LLMs
  
• Experience with applying NLP on banking and/or contact center domains
  
• Knowledge of DevOps practices including Git and CI/CD
  
• Experience with CI/CD for Machine Learning pipeline (CD4ML).
  

What we offer you

• Flexible working environment
  
• Learning budget and platforms
  
• Wide variety of projects you could be part of
  
• Medical subscription
  
• HR representative to guide you in your professional career development
  
• Bookster
  

Our recruitment process

• HR Discussion
  
• Technical interview
  
• Offer
  

Meet us!

If you are still unsure, we are inviting you to come by anytime for a tour of our office without any commitment.

*All applications are strictly confidential. We will not disclose any private information without having your approval.