rinf tech locuri de muncă

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

• Machine Learning Engineer role encompasses designing, building, and maintaining machine learning systems and with the role develops, trains, and deploys machine learning models, automating model deployment and management.
• As part of larger team, develops and integrates ML analytical components in business solutions and analytical models.
• ML Engineer Skills include Model Development and Optimization, Programming with coding skills, Mathematics and Statistics, and Data Handling.

What you need to be successful

• Relevant work experience in ML projects
• Relevant work experience in technologies and frameworks used in ML, examples are Apache Airflow, sklearn, MLFlow, TensorFlow
• Knowledge of MLOps architecture and practices
• Knowledge of data manipulation and transformation, e.g. SQL
• Experience working in cloud environment, data cloud platforms (e.g. GCP)
• Programming in Python
• Familiar with software engineering practices like versioning, testing, documentation, code review
• Deployment and provisioning automation tools e.g. Docker, Kubernetes, Openshift, CI/CD

Next Steps for you!

• Apply
• CV screening
• HR Interview
• Technical Interview
• Offer presented by our VP of Strategic Projects & CoFounder

Meet us!

Let's meet! We invite you to drop by anytime for a tour of our office, without any commitment.

Join the #PeopleOfManyTalents #EngineerOfTheFuture