FREE NOW
AI

Machine Learning Engineer

FREE NOW · Barcelona, CT, ES

Actively hiring Posted 4 months ago

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

Freenow empowers smarter mobility decisions helping people to move freely and cities to thrive.

The Freenow marketplace is a real-time, two-sided platform connecting millions of riders and drivers. Its efficiency and scalability are powered by a sophisticated ecosystem of Machine Learning systems spanning key domains such as Pricing, Allocation, and Marketplace Payment&Risk.

In this role, you'll help advance our MLOps practices, build the services and the infrastructure that scales ML models from research to real-time production and observe how they impact the daily lives of our users and our business.

Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate developers who strive for excellence and like to have fun doing it. Are you ready for your next ride?

YOUR DAILY ADVENTURES WILL INCLUDE:

  • Developing and maintaining high-performance, distributed systems that serve ML models at scale with low latency
  • Collaborating with Data scientists and Software Engineers to solve business-critical problems in real-time.
  • Streamlining online serving for classical and deep learning models to accelerate A/B testing cycles and reduce time-to-market
  • Enhancing our MLOps platform capabilities to support AI state of the art
  • Implementing ML Monitoring and Observability best practices, including automated data drift detection and self-healing system triggers
  • Contributing to the evolution of our MLOps stack and practices.

Our Techstack: Python | Airflow | Java | Kubernetes | Kafka | Databricks |AWS & more

TO BE SUCCESSFUL IN THIS ROLE:

  • M.S or B.S in Computer Science, Machine Learning, Mathematics or equivalent technical background with related field
  • 3+ years of professional experience deploying, scaling and monitoring ML models in production environment
  • Proficiency in Python. Experience in JVM based programming language (Java, Scala, Kotlin) or GO is highly desirable
  • Proven experience with large-scale data processing systems and modern data warehousing
  • Strong grasp of classical ML and Fundamental understanding of modern ML algorithms (e.g. DNN, RL, transformers ) and mathematical optimizations e.g LP, Convex Optimization
  • Team player, and an avid learner, with a proven capacity to collaborate seamlessly with diverse teams, including those in data, tech, and product, as well as other stakeholders.
  • Clear Communication in English. We are a very diverse team with people from all over the world and English is our language of communication, besides Python.
  • Passionate about harnessing Artificial Intelligence and have the will to play an essential role in the future of urban transportation.
  • Experience with streaming technologies and real-time data processing (e.g., Apache Kafka, Apache Flink, Feature Stores) is a plus.

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

**Plus more local benefits depending on your work location!

DIVERSITY, EQUITY & INCLUSION:**

Freenow 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:

Tags & focus areas

Used for matching and alerts on DevFound
Machine Learning Mlops Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.