Machine Learning Engineering Lead - Barcelona

Posted 2 Days Ago
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Barcelona, Cataluña
Senior level
Automotive • Software
The Role
As Machine Learning Engineering Lead, oversee a team of MLEs, improve data products, and drive collaboration across product, data, and engineering teams to enhance marketplace performance.
Summary Generated by Built In

Location: We are flexible! Come and join us either in Hamburg, Berlin, Athens or Barcelona.

The Marketplace department is the core of our platform and consists of Product Management, Data and Engineering. Together as a team we are going to build our Pricing product, which leads to higher customer engagement, better supply utilisation, and ultimately to a balanced demand and supply situation.

As the Machine Learning Engineering Lead in the Marketplace, you will work closely with the Product and Engineering Managers to improve the existing products such as surge or demand prediction, and evaluate future opportunities to improve our Marketplace performance. You’re responsible for a team of 4 to 6 Machine Learning Engineers, being-hands on in mentoring them to help and grow, and responsible for the data strategy of Marketplace along with the Data Science Lead, ensuring high quality of our data products.

If you want to help unveil new potential and move FREENOW in a much stronger position, here is your chance. In more detail this means… 

YOUR DAILY ADVENTURES WILL INCLUDE:

  • Being hands-on and mentoring the MLEs to grow and improve the architecture, reliability and monitoring of our systems while being their line manager, as well as being the hiring manager for the role.
  • In close collaboration within the data science lead and engineering managers, set the right priorities for their teams, conceptualise and implement various components of the ML engineering infrastructure and processes to maximise the impact and value of data usage for all stakeholders in our increasingly complex market environment. 
  • Facilitating effective collaboration between product managers, data scientists, machine learning engineers, data engineers and cross-functional engineering teams.
  • By using strategic thinking, business understanding and being informed on the latest developments in MLE, help the team to identify, understand, structure and solve complex problems and improve and productionize real-time data products.
  • Being the advocate for MLEs in the business and improving the speed and quality of delivery.

Our Datastack: Python | MLFlow | Databricks | Presto/Trino | Tableau | Airflow | Metabase & more

TO BE SUCCESSFUL IN THIS ROLE:

You are a problem solver, detail-oriented and self-motivated individual who thrives in an innovative, highly motivated environment, combining technical, product, business and leadership perspectives. Further key aspects of your profile are:

  • You like being a hands-on leader and being deep in the code but also know when to effectively delegate and help your direct reports grow in their careers
  • Excellent communication skills and capable of interacting and coordinating with internal and external stakeholders in steering end-to-end processes and projects
  • Experience leading and developing top performing data teams and collaboration with cross-functional engineering teams
  • Facilitating ways of working between Machine Learning engineers, Data Engineers and Data Scientists
  • A history of leading and supporting successful data projects and the ability to define project objectives, resources, timelines and methodologies clearly to all stakeholders
  • Strong analytical and problem solving skills
  • Ability to thrive in a fast paced and collaborative environment
  • Act as a role model in pragmatism to find solutions for your team

BENEFITS & PERKS IN A NUTSHELL:

Flexible working arrangements

LinkedIn Learning

Sabbatical & special leave policies

WeRoad partnership

Birthday, 24th + 31st December off

Short term EU work policy

Mobility Credit

Health Insurance

Employee assistance program

 


DIVERSITY, EQUITY & INCLUSION:

FREE NOW is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age.
We want you to grow and evolve, bring your true self to work

SEE WHAT OUR AWESOME COLLEAGUES SAY ABOUT US:

               

Top Skills

Airflow
Databricks
Metabase
Mlflow
Presto
Python
Tableau
Trino
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The Company
HQ: Hamburg
1,824 Employees
On-site Workplace

What We Do

FREENOW is the Mobility Super App with the largest vehicle choice for consumers across Europe available in 9 markets and in over 150 cities. Users can access all types of mobility services within a single app including taxis, Ride (PHV), Carsharing, eScooters, eBikes and eMopeds and public transport. FREENOW aggregates numerous mobility brands with the ambition to make urban mobility more efficient and sustainable without adding new vehicles on the street. The Germany-based company is backed by the BMW Group and Mercedes-Benz Mobility. In total, around 1,000 employees in more than 26 offices work for the services of FREENOW, which is led by CEO Thomas Zimmermann. Intelligent Apps GmbH Neumühlen 19 22763 Hamburg Germany Managing Directors (Geschäftsführer): Thomas Zimmermann, Dr. Johannes Prantl Chairman of the Supervisory Board (Vorsitzender des Aufsichtsrats): Stephan Unger Contact: Tel.: +49 40 30606890 Fax.: +49 40 306068966 E-Mail: [email protected] FREENOW FAQ: https://support.free-now.com/hc/en-gb Help Center: https://support.free-now.com/hc/en-gb/requests/new Registry entry: Register court: District Court Hamburg Register number: HRB 110377 Privacy Policy: https://free-now.com/uk/gtc-privacy-policy-cookies/

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