Senior Ai Engineer (Databricks)
Role details
Job location
Tech stack
Job description
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, 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. xhfqzwm 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
Requirements
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. We know that the perfect candidate doesn't always check every single box. If you're excited about this role and have the foundational skills we're looking for, we encourage you to apply anyway.
Benefits & conditions
Publicado hace 1 día Full-time Data Visualization Foot Solution Architecture Data Architecture Teaching At DATAPAO, data ignites passion, community fuels collaboration, and growth knows no bounds. ¿Le gusta esta oportunidad? Asegúrese de inscribirse rápido, ya que se espera un gran volumen de solicitudes. Desplácese hacia abajo para leer la descripción completa del puesto. 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.