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 and implement machine learning models and algorithms to address complex business problems.
- Analyze large datasets and identify relevant features for model training.
- Develop and deploy production-grade ML models that meet performance and scalability requirements
- Apply deep learning techniques to enhance search and recommendation engines.
- Fine-tune neural networks for optimal performance.
- Implement NLP models for natural language understanding and processing.
- Manage the end-to-end ML lifecycle, from data collection and preprocessing to model deployment and monitoring
- Write production-quality code for ML models as services and APIs.
- Stay up-to-date with the latest ML tooling and communities to ensure best practices.
- Work closely with cross-functional teams (including technical presales, data scientists, software engineers, and product managers) to understand business requirements.
- Translate business needs into technical solutions and vice versa.
- Present findings and insights to both technical and non-technical stakeholders
What you need to be successful
- Master’s or Bachelor’s Degree in Computer Science, Engineering, Mathematics,or related fields (qualifications can be overwritten by the relevant experience).
- Minimum 6 years of hands-on experience in machine learning and deep learning.
- Proven track record of successfully delivering ML projects.
- Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Keras.
- Experience with distributed computing frameworks (e.g., Hadoop, Spark, RDBMS).
- Strong programming skills in Python in SQL.
- Knowledge of cloud-based components for ML deployment.
- Analytical mindset with a passion for solving complex problems.
- Strong communication skills to collaborate effectively with diverse teams.
- Adaptability and willingness to learn new technologies on-the-job
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.