Machine Learning Operations (MLOps) Engineer

Polska

12000 - 16500 PLN

Poziom
Senior
Umowa
Umowa o pracę
Wielkość firmy
100 - 249
Pozostało
Zakończono
Stack technologiczny
Pracodawca nie ma żadnych wymagań technologicznych
Miasta
Zdalnie
Opis
riskmethods- the intelligent way to manage risk!

Engage with our software and help companies proactively protect money and reputation. Bring in your own ideas to improve our product strategy, closely collaborate with partners and internal stakeholders to make our product even more successful and bring it to the next level.

Are you ready to take an opportunity to jump start you career with the next SaaS champion in Supply Chain Risk Management? Then read this carefully! For our Wrocław office, we are looking for an aspiring and motivated team player as our new Machine Learning Operations Engineer

What you will do:

Work in an agile company that develops a successful, AI-based Supply Chain Risk Management application
Deploy and maintain Machine Learning (ML) REST API services
Develop data-intensive application that operates in a real-time fashion
Drive adoption and implementation of DevOps practices in ML context
Design scalable and maintainable deep learning inference pipelines
Collaborate with other colleagues to document and maintain ML services
Requirements
What you should bring along:

Essential:

You have 4+ years of experience building data intensive application
You have experience deploying machine learning models to production
You are proficient in Python and familiar with packages such as Pandas, TensorFlow and/or Pytorch
You have a good understanding of the complete lifecycle of ML model development
You are familiar with the concepts of A/B deployment and model differential testing
You have experience working with cloud providers (AWS/GCP/Azure)
You have experience working with structured and unstructured data
You have a positive, can-do mentality and can communicate to non-experts well
You have at least a bachelor’s degree in Computer Science, Mathematics, Engineering, or a related discipline
You have a strong command of English, as it is our primary communication language
 

 

 

Bonus Points:

You have experience setting-up CICD pipelines in ML context
You have experience building machine learning models
You are interested in Knowledge Graphs

What we offer you:

An eager, open-minded and international Go Live Team as great work environment!
Unique learning opportunity working with machine-learning experts, data engineers, software and data architects, product owners, and scrum masters as one Team
Exciting technologies to work with and to support our growing customer base
An agile mindset uplifting your personal growth and professional development
An impact on our company and the business of our customers by bringing in your ideas
Conferences and trainings to stay up to date with the latest industry updates
Plenty of fun, team events, drinks and great colleagues
If you want to work in an agile environment (not only by doing Scrum), we are looking forward to your application.

About riskmethods

riskmethods provides our customers with a cloud-based supply chain risk management solution. Our innovative AI-driven service empowers businesses around the world to proactively identify, assess and mitigate risk in their supply chains to protect revenue and reputation. At riskmethods, we work cooperatively to ensure our customers’ success. We welcome new perspectives, insights and ideas and believe in our people. We offer a flexible working environment including the opportunity to work remote and support each “riskbuster” in achieving their personal goals and in making a difference. Our company values are to think big, get stuff done, hate waste and act respectfully. We are expanding rapidly and are looking for new “riskbusters” to drive our strong growth trajectory.
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