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
- Build and maintain reliable data pipelines
- Prepare clean, structured datasets for machine learning
- Work with data from client’s data warehouse and other internal sources
- Use transformation tools like dbt when needed
- Automate ML training workflows on Google Cloud Platform
- Build reproducible ML pipelines
- Work with data scientists to turn experimental models into production-ready systems
- Deployment & Serving
- Deploy ML models using Cloud Run, Kubernetes, and Vertex AI
- Build and maintain REST APIs in Python to serve predictions
- Ensure models are fast, stable, and secure
- Set up dashboards with DataDog, Grafana, or similar tools
- Monitor model performance, accuracy, data drift, and system health
- Troubleshoot issues and ensure smooth operation in production
What you need to be successful
- 5+ years of experience building and deploying ML models in production
- Strong Python skills (pipelines, training workflows, APIs)
- Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn, etc.)
- Solid understanding of MLOps practices: CI/CD, model versioning, automated pipelines, monitoring
- Hands-on experience with GCP services: Cloud Run, Kubernetes, BigQuery, Vertex AI
- Experience building APIs (FastAPI, Flask, or similar)
- Good understanding of automated testing
- Monitoring: Experience with DataDog or Grafana
- Knowledge of ethical AI, bias mitigation, or data privacy principles
- Knowledge of AI guardrailing
- Experience with recommender systems
- Vector databases
- Embeddings
- Feature engineering
- Matrix factorization techniques
- Ttwin tower models
- Basic experience or exposure to recommender systems
- Monitoring and observability of models in production
- User feedback handling
- Model training and evaluation (at least theoretical understanding)
- A/B testing
- Performance metrics
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.