ML Ops Engineer

Etraveli Group is looking for an experienced ML Ops Engineer to strengthen our capabilities in operating large scale machine learning solutions.

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 biggest technology companies.

The core of the technical platform, the Internet Booking Engine (IBE), serves price comparison sites and customers with attractive travel options retrieved from centralised flight marketplaces. Every minute, millions of travel options are automatically assessed, compiled, and re-priced. Intense data analysis, price optimisation, and configuration automation is business crucial. Etraveli Group’s data stock with air search, order, and tactical competition analysis data is impressive and growing rapidly in dimensions and volume.

The team and the role

DSR is a team that creates and delivers machine learning based solutions towards internal stakeholders. At a high level, we ingest billions of trips from search requests and other various requests and process the data through pipelines to produce results such as revenue estimation, conversion analysis or bidding automation.

We are in search of a self-motivated and versatile senior ML Ops engineer with the ability to work in an energetic and interactive environment. You must be a self-starter with a passion for crafting innovative software solutions and as part of our team work closely with our data scientists and data engineers. You will regularly learn and implement new technologies, and play an active role in developing, proving out, and (re)assessment of existing machine learning architectures. You will also be in close collaboration with our DevOps and System Engineers in order to consciously improve our infrastructure and our CI/CD environment and process.

Responsibilities

• Design, prototype, refine and maintain Etraveli Group’s ML platform that considers and connects experiments, automation, training, serving, monitoring and data
• Together with Machine Learning and Data Engineers design and build automated pipelines that run, monitor, and retrain ML Models for business applications
• Support life cycle management of deployed ML apps (e.g., new releases, change management, monitoring and troubleshooting).
• Select, evaluate and integrate industry leading systems, applications and tooling that is required for the ML projects, optimizing the architecture for performance and scalability
• Improve tracking of models, data, and experiments together with the team
• Work directly with Data Scientists and ML Engineers so they have self-service tools to create, deploy, and support new data integrations, feature engineering, modelling and model serving
• Design and implement Model and Pipeline validation procedures alongside teams of Data Scientists, Machine Learning and Data Engineers
• Plan, communicate and share status updates together with your fellow colleagues, system administrators and platform technology engineers creating synergies and using best practice.

Requirements

For this role you, like us, enjoy learning about and using state of the art tools and processes. A learning mindset is the essence of how we operate - we solve complex problems, start with pragmatic solutions, iterate, and persist towards a quality solution.

Must haves:

• 3+ years experience with ML Ops or DevOps
• Experience of machine learning lifecycle platforms (MLflow / Kubeflow)
• Experience of Git, Linux system administration, Docker and Kubernetes
• Experience automating builds and deployments through an automation system (Jenkins)
• Experience with setting up applications health dashboards using Grafana
• Software development experience in Python
• Experience with system monitoring and metrics

Nice to haves:

• Experience of databases including elasticsearch and MySQL
• Experience with running python web frameworks for ML model serving (i.e. Flask)
• Experience with large scale data processing using Scala and Spark
• Experience working with modern analytics tools and workflows like Snowplow analytics is a plus
• University degree in a STEM discipline

Our offer

With us you become part of a tight-knit team of about 100 people located in the office 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.

• Office in the City – We are located on Kungsgatan in central Gothenburg, a stone's throw from public transport and lunch restaurants.
• Conferences – 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 trainings 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!