Python Developer to Machine Learning team

Our offer to you
We guarantee the opportunity to work with large scale and high performance applications that need to process and assess billions of records a day. To handle the complexity of our business we use the best of breed tools and processes in the ML domain, where data flows need to be optimal. You will get the possibility to learn more about, and get hands-on experience of, adjacent fields like Data Science, ML Pipeline Architecture and Platform Engineering.
Since we are growing as a company and expecting to handle more customers with a broader range of ML applications in the future, we offer you an exciting and demanding position to grow in. And we are a great employer and company to work for!
The DSR team
The DSR team is a cross functional team consisting of data scientists, data engineers, machine learning and ML Ops engineers, with team members in both Gothenburg and Athens. The roles in the team span across Data Scientists, Machine Learning Engineers, Data Engineers and ML Ops Engineers and they work in close collaboration with the IT Dev teams.
The core of the technical platform, the Internet Booking Engine, serves price comparison sites and customers with attractive travel options retrieved from centralized flight marketplaces. Every minute, 120 million travel options are automatically assessed, compiled, and re-priced. Intense data analysis, price optimization, and configuration automation is crucial. Etraveli Group’s data stock with searches, order, and tactical competition analysis is impressive and still growing rapidly in dimensions and volume.
The role
As a Python Developer you will design, prototype, refine and maintain applications around machine learning models for price and conversion optimization. You will work closely with Data Scientists and ML Engineers and support feature engineering, modelling and model serving. In addition to this you will focus on improving tracking and visualization of models, data, and experiments together with the team towards stakeholders and business users. Together with your colleagues and our developers you will plan, communicate and share status updates creating synergies and using best practice to evolve our ML platform.
You’ll find yourself in a highly creative environment, surrounded by awesome coworkers, challenging problems, and demanding, rewarding customers.
Main responsibilities:
Design and implement applications around machine learning models for pricing, conversion and revenue
Refine and maintain existing services and automated pipelines that run, monitor, and retrain machine learning models
Optimize and create new data integrations both for input and output together with Data Engineers and core engine backend developers
Select, evaluate and integrate industry leading systems, applications and tooling that are required for the ML projects, ensuring scalability, performance and maintainability.

Your background
Minimum qualifications:
5+ years of experience with Python application development
Knowledge in web frameworks for building APIs in Python such as Flask or FastAPI
Experience in working with databases such as MySQL, Singlestore or Hadoop
Experience with Git, Docker and Kubernetes
Exposure to machine learning concepts and frameworks (feature engineering, semi-supervised models, and time series prediction) with interest in learning more.

Meritorious:
A degree in Computer Science, Engineering or related field
Experience with event streaming platforms such as Kafka and data serialisation systems such as Avro
Knowledge in scientific computing and visualization in Python (i.e. SciPy, NumPy)
Experience with machine learning lifecycle platforms (MLflow / Kubeflow)
Experience with continuous integration and delivery (Jenkins)
Experience with logging and applications health dashboards (i.e. by Elasticsearch, Grafana and Kinana)



Please note, for residents outside of Sweden, that we do not have the possibility to sponsor visas for this specific position.
Our offer to you
With us you become part of a tight-knit team of about 110 people in Gothenburg, all of us with different skills and personalities and we believe that it is precisely this that makes us a great team. The ambition however is shared – we strive for the same goals, are passionate about what we do and work hard at a high pace.
Hybrid work environment (3 days working at the office and 2 days working from home) enabling you flexibility.
Office in the City – We are located on Kungsgatan in central Gothenburg, a stone's throw from public transport and lunch restaurants.
Conferences and trainings – We believe in personal development and continuous education. As an employee, you receive a generous budget each year to spend at conferences, online courses or other means to learn new things. In addition to this, we continuously organize internal and external training and workshops so that we can learn from each other.
Healthcare allowance – Each employee receives a maximum allowable amount each year according to the Swedish Tax Agency to spend on health-promoting activities such as a gym card, massage etc.
Pension and health insurance – Through partners we offer a comprehensive pension and health insurance so that you can get help quickly in case of an accident.
Hackaton and Dev week – We believe in fostering creativity and testing new things. Therefore, we have recurring Hackaton and Dev weeks where the teams decide what they want to work on.

In addition to this we serve you breakfast every morning. Welcome to Etraveli Group!
Any questions about the job? Contact kay.wittig@etraveligroup.com.
About Etraveli Group
Etraveli Group is a leading global technology provider for Flights focused on offering the best possible flight content delivered through flexible tech solutions. We are the preferred partner of some of the world’s most prominent travel technology companies such as Booking.com & Google Flights. In this context, to deliver on the company's overall mission to make it easier for everyone to experience the world, Booking Holdings recently entered into an agreement to acquire our company. Completion of the acquisition is subject to certain closing conditions, including regulatory approval.
Exciting times ahead, and with the continuous goal to implement state-of-the-art machine learning pipelines and consolidate to our existing solutions we look forward to onboard an experienced Python Developer in Gothenburg!