AI Engineer

We are currently looking for a Senior AI Engineer to join us remotely in Spain. As our first hire in this geography, you could play a pivotal role in, potentially, setting up a physical hub in Spain. We currently serve our customers from our delivery hub in Budapest (Hungary) and through our remote consultants in the UK, but we're considering expanding the team internationally with a 2nd delivery hub in EMEA. You will work with our EMEA and US customers to help them solve their data architecture, ML, Generative AI, MLOps and cloud migration puzzles. What will you do?

As our first AI Engineer in Spain, you'll lead engagements to help our customers build and productionize tailored AI applications in the Databricks platform, using the latest technologies to deliver business impact for our top clients. You'll own the technical delivery of AI solutions, whether you're working solo as an AI Engineer or heading up a delivery team. Your responsibilities will span across the following dimensions: Project Planning & Delivery

• Technical Architecture: Lead the technical scoping, design high-level architectures, and define the roadmap for AI and Generative AI solutions;
• Execution & Leadership: Take ownership - either delivering the project independently or acting as the Technical Lead for a team of engineers;
• Customer Interface: Serve as the primary technical contact for our customers, ensuring the systems you build solve their specific business challenges;
• Strategic Advisory: Between active project cycles, act as a senior technical advisor for our EMEA customers and Databricks partners to navigate complex Generative AI and traditional Machine Learning challenges.

AI & Platform Consultancy

• Production-Grade Solutions: Build robust and scalable solution architectures that leverage the latest technologies;
• Enablement: Lead technical workshops to empower client teams, ensuring they have the expertise to manage and scale the AI platforms you help them deploy.

• 5+ years of experience in AI or Machine Learning Engineering with cloud platforms.

• Proficient in MLOps using MLflow.

• Experience in Databricks or comparable enterprise cloud environment., * Lead technical scoping and design high-level architectures for AI solutions.

• Take ownership of project delivery independently or as Technical Lead.

• Serve as primary technical contact for customers, solving business challenges., AI or Machine Learning Engineering MLOps using MLflow Production systems in Databricks Understanding of Large Language Models Strong Python knowledge Data visualization tools, * You have 5+ years of experience in AI or Machine Learning Engineering with a focus on cloud platforms (AWS, Azure, GCP);

• You are proficient in MLOps using MLflow - taking models from local environments to fully automated, monitored production pipelines;

• You have experience building production systems in Databricks or in a comparable enterprise cloud environment, utilizing PySpark, SQL, Delta Lake, and Unity Catalog (or similar enterprise governance);

• You have a good understanding of Large Language Models (LLMs) and experience implementing them using modern frameworks and libraries;

• You have strong Python knowledge of the most common Data Science and ML libraries;

• You have good knowledge of data visualization tools/libraries;

• [BONUS]: Proficiency in deep learning frameworks (PyTorch/TensorFlow) or distributed computing (Spark).

Consulting & Client-Facing Skills

• Ideally, you bring a proven history in consulting, from scoping to gathering requirements, designing solutions, and communicating effectively with stakeholders. If you bring a product company background with you, that's also fine as long as you can show a good consulting mindset and desire to be customer-facing;
• You've successfully delivered projects like end-to-end, fully automated ML solutions, or production-ready Generative AI applications in Databricks or in a comparable enterprise cloud environment;
• You excel in explaining technical concepts to non-technical audiences and drive decision-making.

Operational Readiness & Soft Skills

• You're (almost) ready to hit the ground running, immediately contributing to live client projects;
• In a fast-paced consulting environment, where no two days are the same, flexibility and problem-solving comes naturally to you. Furthermore, resilience and thriving on challenges are essential traits in our industry;
• Your communication skills are on point-whether you're writing, speaking, or collaborating with stakeholders, you know how to keep everyone in the loop.

A leading Data Engineering company in Spain is seeking a Senior AI Engineer to drive AI solutions for EMEA and US clients. As the first team member in Spain, you will lead technical projects, interface with customers, and contribute to establishing local presence. This hybrid role offers flexibility and significant development opportunities in a rapidly growing field, with a salary range of €75,000 to €85,000 annually, plus comprehensive benefits.

At DATAPAO, data ignites passion, community fuels collaboration, and growth knows no bounds. We are a leading Data Engineering and AI consulting company backed by Databricks and recognized for our unmatched delivery standards and rapid growth. We have been named Databricks EMEA Emerging Business Partner of the Year (2024), achieved the Golden Tier status in the Databricks Partner Program, and made three consecutive appearances on the Financial Times FT1000 list., You'll have the rare opportunity to join DATAPAO at a time when you can still meaningfully impact our growth trajectory and organizational success. Furthermore, as our first-ever Spain hire, you could meaningfully contribute to expanding our local presence and, eventually, establishing a physical hub in this geography. Here is a list of some other extras we offer: * The chance to work remotely - as we don't have a physical office in Spain yet, we offer a fully remote setup for the time being. However, given our strong community emphasis, we'd expect you to spend one month in our Budapest hub during onboarding and visit the office for one week every quarter; * World-class educational benefits - there's no shortage of learning opportunities at DATAPAO, meaning that you'll get access to Databricks' public and internal courses to learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks, and Cloud Migration from the best. Additionally, we'll pay for various data & cloud certifications, you'll get dedicated time for learning during work hours, and access to our internal library; * Flexible PTO days - we're flexible with how many days you take off if that does not conflict with customer success and the work getting done; * Fully paid Medical Leave for up to 15 days per year - because when you're unwell, we want you to focus on recovery and not worry about your paycheck; * Comprehensive private health insurance plan via Allianz - offered via our EOR (Employer of Record) provider, Remote.com. Remote will be your official employer in Spain for the foreseeable future until we establish our own legal entity in Spain; * Employee Assistance Program (EAP) via Allianz & Remote - life always happens! And we'd like to be there for you when it counts the most. Through EAP, we offer our employees access to psychology, financial, and legal consulting services via phone or in person; * Top-notch working equipment - working comfortably means working well. You will get a MacBook Pro and a sign-up bonus of 500 EUR gross (to be paid with your first payroll) to set up your home office or whatever else is needed to give your best; * The chance to make an impact in a high-transparency culture - open feedback and no politics are things we value a lot at DATAPAO. Additionally, you'll get the chance to work in the field of data & AI and shape the future of a rapidly growing tech company. IMPORTANT NOTE: Given that we are still sorting our way in Spain, this list will likely get an update in the following months, and we're also committed to growing it with us over time. The gross salary for this position ranges from 75.000 to 85.000 EUR/year, depending on your assessed seniority level during the selection process. Please note that currently we are unable to support transfer or offer full sponsorship for Skilled Worker visas as we're just setting foot into Spain., DATAPAO is a data engineering and AI company that covers the entire data transformation from architecture to implementation. Beyond delivering solutions, we also provide data and AI training and enablement. We are backed by Databricks - the creators of Apache Spark, and act as a delivery partner and training provider for them in Europe. Additionally, we are Microsoft Gold Partners in delivering cloud migration and data architecture on Azure. Our delivery partnerships enable us to work in a wide range of industries and with some of the most prominent global companies, such as Norsk-Hydro, Richter, Bayer, Schufa, GetYourGuide, TechnoAlpin, and Logically, to name just a few. As a training provider, we deliver onsite and online courses globally for Databricks and on our own. We have been teaching professionals at Apple, Amazon, Uber, Microsoft, T-Mobile, GE, Ericsson, and many more to improve their impact with data. We're firm believers in scaling up a team without judgment or prejudice. What we really care about is working with the best people out there, no matter their background. And you should also not worry if you don't tick every box in the requirements. If you're passionate about data and learning new things, you'll fit right in, and we'd love to hear back from you. And we hear back, we'd like you to know that we are committed to your privacy and keeping your data safe. We do not share your data with any third parties (except the ones we use to run our recruitment process) and keep your application for two years unless you ask us otherwise. We use your data solely for recruitment purposes, such as letting you know about new career opportunities at DATAPAO and/or managing your application. If you want to find out more, you can always follow us on LinkedIn for all the good stuff or just hit our recruitment team at jobs@datapao.com. Consigue la evaluación confidencial y gratuita de tu currículum