What is the impact you want to make?
Unleash your biggest strengths, apply skills & knowledge, learn new things, connect with your peers and build your career with us!
Why rinf.tech?
#EngineerOfTheFuture, #PeopleofManyTalents
- At rinf.tech, you’ll encounter friendly people who are eager to explore and reinvent the world of technology.
- We encourage ideas - we like to share and learn from each other. We’re all in for curious & ambitious people.
#GrowOpportunities
- We continuously invest in developing core teams focused on technologies like Blockchain, AI, and IoT - www.rinf.tech/careers/core-blockchain-and-ai-teams/
- Our Technical Management team, possesses a robust technical background. Many of our team members have advanced to strategic roles through internal promotions.
- In a state of mutual willingness to share & grow, our RINFers commit to a minimum tenure of 2.5 years on a project.
#EngineeringExcellence
- Fail fast, learn fast: we experiment, we iterate, we know when to stop and we don't repeat the same mistakes.
- The right technology stack for the right problem: we don't force technology choices just because we know them; our focus is on solving problems, not on pushing predefined stacks.
#Innovation
- Adapta Robotics is a successful spin-off born through an R&D project within rinf.tech www.adaptarobotics.com/
Why do we do what we do?
We inspire one another to share our tech-works in this amazing and abundant world. So we became developers, innovators, thinkers, software builders, and hardware makers!
Our Vision!
Founded in 2006 with 650+ engineers & global presence (8 delivery centers in Europe & North America) we strive to become a leading East-European technology partner for growing organizations in need of digital transformation of their products and services!
What you’ll do
- Design, develop, and maintain NLP models for various tasks, including text classification, sentiment analysis, named entity recognition, and question answering.
- Implement and fine-tune models to process textual data effectively using SpaCy, nltk frameworks and LLM training and fine-tuning pipelines.
- Optimize NLP pipelines for scalability and performance.
- Stay up-to-date with the latest NLP research and apply state-of-the-art techniques.
- Explore deep learning architectures (such as transformer-based models) for NLP tasks.
- Leverage pre-trained language models (e.g., BERT, GPT) for transfer learning.
- Write clean, efficient, and production-quality code in Python.
What you need to be successful
- Bachelor’s or Master’s degree in Computer Science, Natural Language
- Processing, or related fields (qualifications can be overwritten by the relevant
- experience).
- Minimum 6 years of hands-on experience specifically in NLP development.
- Proficiency in NLP libraries and frameworks (e.g., NLTK, spaCy, Hugging Face
- Transformers).
- Experience with deep learning frameworks (TensorFlow, PyTorch).
- Solid understanding of linguistic concepts (syntax, semantics, morphology).
- Knowledge of neural network architectures (RNNs, CNNs, transformers).
- Understanding of attention mechanisms (self-attention, multi-head attention
- Experience with cloud platforms (AWS, GCP, Azure) for NLP deployment.
- Familiarity with containerization tools (Docker, Kubernetes).
- Version control using Git.
- Analytical mindset with a passion for solving language-related challenges.
- Excellent communication skills to collaborate with diverse teams.
- Adaptability and continuous learning in a rapidly evolving field.
Next Steps for you!
- Apply
- CV screening
- HR Interview
- Technical Interview
- Offer presented by our CEO
Meet us!
Let's meet! We invite you to drop by anytime for a tour of our office, without any commitment.