Data AI Developer

Bdeo

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profile Job Location:

Madrid - Spain

profile Monthly Salary: Not Disclosed
Posted on: 9 hours ago
Vacancies: 1 Vacancy

Job Summary

Are you ready to turn cutting-edge AI research into real-world products that impact thousands of users worldwide

At Bdeo were on a mission to transform the insurance and fleet industries through AI-powered visual intelligence. As our data and AI capabilities continue to scale globally were looking for a product-minded AI Data Developer based in Spain whos excited to bridge the gap between data science agentic AI and production-ready systems.

If you enjoy building and optimizing data pipelines orchestrating LLM-powered workflows and collaborating closely with data scientists MLOps and product teams to bring innovative AI solutions to life in a fast-growing international scale-up this might be your next challenge

About the role

As a Mid-Level Data AI Developer at Bdeo youll play a critical role in our data team

  • Productionize expert-level computer vision models closing the loop between data science academic research and tangible product value.
  • Designing and implementing Agentic AI workflows and LLM-powered features that move beyond static automation to dynamic decision-making.
  • Being responsible for implementing robust data solutions optimizing pipelines and ensuring the seamless integration of AI models into production environments.
  • Working with a product-oriented agile squad and focus on designing implementing and deploying new and innovative AI solutions.
  • Collaborating with talented people from different backgrounds such as data scientists MLops engineers analytics engineers product managers software engineers QA engineers
  • Promoting knowledge sharing and best practices across the team.

What Youll Do

  • Develop and Maintain Data Solutions: Build and optimize data solutions to fulfill product delivery needs.
  • AI Orchestration**:** Develop and maintain agentic frameworks (e.g. LangChain LangGraph n8n etc) to automate complex insurance workflows.
  • Performance Optimization: Refactor and optimize Python code to improve efficiency and scalability of existing workflows.
  • Tooling and Automation: Create internal tools to support the delivery of features related to data science.
  • Data Management: Collaborate on data cleaning transformation and structuring to enable advanced analytics.
  • Model Integration: Work closely with data scientists to test and integrate machine learning models into production.
  • Cross-Team Collaboration: Work with MLOps engineers to improve CI/CD pipelines for machine learning applications and ensure robust monitoring of deployed systems.

Who are we searching for

  • 1 years of professional experience in python developement.
  • Proficiency in Python with a strong focus on writing clean efficient and maintainable code.
  • LLM & Generative AI: Proven experience working with LLMs (OpenAI Anthropic or Open Source models via HuggingFace) and a solid understanding of Agentic AI design patterns.
  • Experience in Data Pipelines: ETL and data workflow orchestration.
  • Cloud Expertise: familiarity with cloud platforms like AWS GCP or Azure.
  • Frameworks & Libraries: working knowledge of Pandas NumPy and similar libraries.
  • Basic ML Knowledge: Understanding of machine learning lifecycle and concepts to collaborate effectively with data scientists.
  • Database Skills: Experience with relational (e.g. PostgreSQL) and NoSQL (e.g. DynamoDB MongoDB) databases.
  • Problem-Solving: Strong analytical skills and the ability to debug and solve complex technical challenges.
  • Eager to keep improving yourself with the latest technologies.
  • Fluent in English written and spoken

Nice to haves:

  • Industry experience working on machine learning
  • Product-oriented and proactive mindset to propose and implement new solutions
  • Experience with agile methodologies such as Scrum and Kanban
  • Experience with MLOps tools (Docker MLflow)
  • Data science background or of related fields
  • Solid foundation in statistics and mathematics
  • Exposure to Machine Learning: Hands-on experience deploying or retraining models is a plus
  • Experience using RestAPI frameworks
  • Fluency in Spanish

About Us

At Bdeo our mission is to empower the insurance and fleet management industries through cutting-edge Visual Intelligence. Our AI-powered technology accessible via smartphone allows for remote analysis and detection of vehicle damage providing triage and cost estimates that help companies streamline and optimize underwriting and claims management processes.

We focus primarily on Motor Solutions while also applying our Visual Intelligence to selected Property use cases.

Our recent achievements:

  • Operating in 30 countries and expanding with a multicultural team of #Bdoers representing over 14 nationalities.
  • Recognitions: AI Fintech Global 2023 FinTech Globals Insurtech100 in 2023 Wireds Hottest Startups in Europe and among the top 10 most relevant startups in Madrid in 2023 and ITC DIA Europe top 100 insurtechs to watch in 2024.
  • Additional honors: Claims Excellence Awards 2024 (Nominee) Forbes Spains 2024 list of 100 Most Creative People in Business featuring Julio Pernía and Bdeo and recognized among the Worlds Top Insurtech Companies 2024 by CNBC and Statista.

Our growth is backed by top-tier investors including Wayra and Telefónica Seguros through Íope Ventures Hollard Armilar and CDTI alongside returning investors K Fund and Blackfinand we couldnt be more excited for the journey ahead!

Our Values:

  • We think BIG and are BOLD
  • We always go the extra mile
  • We genuinely CARE about each other
  • We stay laser-focused on customer success

About the Process

  1. Conversation with our People & Culture Manager
  2. Practical exercise
  3. A chat with our Data Tech Lead
  4. A last conversation with our Chief Data Officer
  5. If all goes well we will send you an offer!

Why Youll Love Working with Us!

Vacation & Time Off:

  • Recharge Fully: Enjoy 23 vacation days plus all Spanish public holidays.
  • Extra Days for Special Moments: Paid time off on December 24th and 31st and yes we celebrate you with a day off on your birthday! (Just be sure to bring a fantastic birthday cake to share .)

Flexible Work Options:

  • Own Your Schedule: Start anytime between 8 am and 10 am wrap up between 5 pm and 7 pm and on Fridays (and 20 summer days) dive into the weekend early with an 8 am to 3 pm finish.
  • Home Comforts: Work from home three days a week plus enjoy six full weeks remote per year.

Awesome Perks:

  • Health is Wealth: Private medical and dental insurance (Adeslas) for peace of mind.
  • Flexible Spending: Meal transport training and kindergarten benefits through Cobee.
  • Office Treats: Fuel your day with office snacksthink fruit cookies tea and coffee all on us!
  • Taxes Done Right: Access to TaxDown to help you file your taxes effortlessly and make sure youre not paying more than you should.

Learning & Growth:

  • Invest in Yourself: An annual budget for books courses events or anything else to keep you growing.
  • Internal Knowledge Sharing: Access training sessions that bring the team closer and up to speed on the latest industry insights.

Extra Goodies:

  • Career Momentum: From new learning to career growth youll find plenty of ways to advance and make a significant impact in an industry-transforming company.
  • A Dream Team: Join a passionate crew thats all about revolutionizing the insurance industry!

Bdeo is an equal opportunity employer and values diversity. We do not discriminate on the basis of race religion color national origin gender sexual orientation age marital status or disability status.

Are you ready to turn cutting-edge AI research into real-world products that impact thousands of users worldwideAt Bdeo were on a mission to transform the insurance and fleet industries through AI-powered visual intelligence. As our data and AI capabilities continue to scale globally were looking fo...
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