Will you take on the challenge of using our data to enhance the performance of dairy producers globally and promote the health of cows?  Join the industry's most creative organization and help develop ideas that have a real influence!  We'll continue to expand on our vision and sustain the recent years' quick development with you as our new MLOps engineer. 
You and your team will manage initiatives that use our data to provide dairy producers fresh perspectives.  As a dairy farmer, these tips will help you achieve even greater success.  CowManager is at the forefront of this field.  CowManager, the first cow monitoring system, provides its clients with a model that foretells which cows will get sick, even before they show signs of illness.There are innumerable concepts that need to be explored; this is only the start.  In our opinion, this is a dream position; don't miss this chance while it lasts! 
Together with the Data Engineers and Scientists, you'll work on the data and machine learning pipelines to deliver the model to production in our Microsoft Azure cloud environment.  To put it another way, you will work on AI/ML solutions from beginning to end, from concept to development and implementation to production tool administration and monitoring.
How will you respond? 
. constructing data pipelines for machine learning and data analysis solutions. 
. Implementing machine learning models and the related documentation 
. gathering information from several sources and sharing it with coworkers. 
. converting information into a format that can be used. 
. building and maintaining data solutions and infrastructure. 
. Having DevOps responsibilities while working in an Agile team
Concerning CowManager :
CowManager is a forward-thinking, multinational enterprise in the agriculture industry that prioritizes cow care and big data.  We are the pioneers of ear sensor technology for dairy cattle and are always coming up with new and improved software and systems.  We are a leader in the area and are always looking for solutions that are sturdy and highly scalable because of the volume of (sensor) data and the complexity of monitoring.  We are ambitious and have high expectations for your drive, but we also think it's critical that you work with your colleagues to get outcomes.
What are you bringing?
You possess three years of work experience as a data scientist, data engineer, or machine learning engineer in addition to a minimum of a higher professional or university level of work and thinking; 
. You've worked with Python, specifically with PySpark and object-oriented programming. 
. strong SQL expertise in relation to data analysis and manipulation; 
. You've worked with machine learning and data analysis; 
. You've worked with the Azure cloud platform before. 
. You've worked with Infrastructure as Code and deployment pipelines; 
. You've worked with source control systems like GIT before. 
. You have experience working in an Agile setting;
. You've successfully put machine learning pipelines into production. 
. Individually, you are customer-focused, cooperative, and innovative in coming up with fixes and enhancements. 
. Even though you don't identify with every point, do you still believe you'd fit in?  Persuade us of your motivation! 
What are we giving?
. contemporary office space equipped with the newest technology; 
. A range of €4,000 to €5,500 in salary
. variable end-of-year bonus that can amount to up to 10% of your yearly income; 
. 25 days of leave, plus the opportunity to buy more days; 
. developing cutting-edge technology that has an immediate effect; 
. a home work budget of €50 per month (based on 40 hours); 
. A budget of €500 for an ergonomic workstation at home;