ML Ops Engineer

We are looking for a person who will work closely with the Data Science team and help develop infrastructure in order for Machine Learning models to be deployed.
ML Ops Engineer

Who are we
looking for?

Qualifications
& Experience
  • in-depth knowledge and several years of work experience in software development (programming languages should include Python)
  • practical working experience with AWS cloud technologies (API Gateway, ECS/EKS/Fargate, SageMaker)
  • practical working experience with automated deployment and orchestration (CI/CD, Docker)
  • experience in applying machine learning methods to industrial data sets
  • solid knowledge of data science quality assurance methodologies and tools
  • industrial experience in machine learning production workflows will be considered an advantage
  • ability to adapt to cross-functional teams and new ways of working
  • knowledge and experience working in an agile team and/or a willingness to learn
  • strong communication skills
  • excellent English knowledge
Your
responsibilities
  • design and implement ML toolchains and data platforms to scale ML solutions in production
  • define and monitor quality parameters for ML models in production
  • re-train and re-deploy models based on quality parameters collected in continuous monitoring
  • define and operate data handling routines to supply required training data to training jobs
  • version the training data and record data, trained models, and quality parameters of these models
  • shape and operate best practices for managing models in production
  • maintain a high-quality standard for all ML models in production
  • work closely with data science teams to take over newly developed models into production, and advise data science teams if model redesign should be considered

Make sure to upload all of the documents (CV, cover letter, etc.) in .pdf.
The job position is open until we find the most suitable candidate.

Tools we use

Python
We use Python to write scripts that help us extract, transform and load the data.
Docker
We rely on Docker in a variety of ways, from simplifying the setup of a local development environment to packaging and running our applications as containers.
CI/CD
Tools we use for automated deployment and orchestration.
AWS
Our cloud platform of choice. Utilizing various building-blocks AWS provides for designing most scalable and reliable infrastructure.
TensorFlow
Our end-to-end open-source machine learning platform of choice.
Slack
We use Slack for work and for fun. It’s our go-to tool for maintaining sanity both in office and remote.
Productive
We use Productive for time tracking, budgeting and project management. It helps us have all the information in one place.

What can you
expect from us?

We offer a number of benefits, high-quality tools,
bad jokes, and a stimulating work environment.

01
Professional development
Learning & development
We believe that honest two-way feedback is the foundation of growth. In our bi-weekly one-on-one talks and quarterly 360 reviews, we discuss what’s good and what could be better.
Versatile projects
Our teams get to work on very interesting projects for renowned brands and clients from a range of industries, some of which we can’t namedrop due to NDAs.
Educational budget
If you’re eager to learn, we’re eager to help. Every employee receives an educational budget to buy books, attend courses or visit conferences.
Contributing to open source
Sharing is caring doesn’t only apply to chocolate. Our way of giving back to the community is publishing open-source libraries and resources.
Paid language courses
Paid language courses help our employees master the English language, in addition to being fluent in their programming languages.
Doing a career switch
We don’t have a sorting hat to tell you where you belong, but we will support your career switch from one job position to another. More info here.
Traveling on business
Having clients all over the world means our employees sometimes have to travel to and work from beautiful locations. Gotta do what you gotta do.
02
Health &
Family life
Subsidized recreation
Stay in shape with a sponsored fitness membership of your choice. You never know when the elevator is going to go out of order.
Sponsored health checks
You know the old saying – the greatest wealth is health. Regular health checks are on us, getting your five-a-day in is on you.
Flexible working hours
Hate waking up very early or fancy going for a run at the lunch break? Tailor your working hours to fit your schedule.
Paid vacation for everyone
Students or non-students, everybody deserves a carefree time-out to recharge their batteries. Bon voyage!
03
Around
the office
Free power-ups
Snack on fruit, cookies, and nuts to keep your energy levels up, then pour a cup of strong tea or coffee over it for a good measure.
Car and bike parking
Whether your ride comes on two wheels or four, don’t let it get caught in the rain. We offer free parking for bicycles and subsidize car parking.  
Working remotely
We like people who go the extra mile, so we don’t let miles and kilometers limit us. Office location? Anywhere. It’s all about flexibility.
Fun and games budget
Every team gets a monthly budget to hang out and do fun stuff. While foodie teams love restaurant hopping, adrenaline seekers prefer to get locked up in escape rooms.
Bring your dog to work
If your four-legged friend doesn’t eat MacBooks, let him tag along. Your colleagues will appreciate the stress relief.

Apply for
this position

Zagreb
Remote