Senior Ai Engineer

At DATAPAO, data ignites passion, community fuels collaboration, and growth knows no bounds.
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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.
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.
What does it take to fit the bill?
Technical Expertise
You have 5+ years of experience in AI or Machine Learning Engineering
with a focus on cloud platforms (AWS, Azure, GCP);

You are proficientin 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. <