Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Applied AI Engineer (Agentic ML/AI): Building agentic end-to-end systems and production machine learning solutions for Databricks’ Genie Code, with an accent on model training, serving, monitoring, and forecasting. Focus on architecting scalable ML infrastructure, deploying state-of-the-art models, and solving infrastructure challenges in Tier 0 production environments.
Location: Belgrade, Serbia
Company
Databricks is a Data and AI company providing a unified platform for building and scaling data, AI, analytics, and agent applications.
What you will do
- Build agentic, end-to-end machine learning systems for software engineers, ML engineers, data engineers, data scientists, and MLOps engineers.
- Develop and deploy state-of-the-art ML and AI models that improve Databricks products, infrastructure, and services.
- Architect scalable ML infrastructure, including model training and serving components for production integration.
- Develop solutions for predictive and what-if business questions, including novel forecasting techniques.
- Engage with engineering and product teams across Databricks to drive applied ML investment.
- Contribute to conferences and open-source projects.
Requirements
- 2–8 years of engineering experience in high-velocity, high-growth companies.
- Strong software engineering skills and knowledge of testing and deployment principles.
- Experience developing AI/ML systems at scale in production is beneficial.
- A strong record of ML modeling beyond standard libraries is beneficial.
- Infrastructure and systems engineers without an ML background may apply if they are willing to develop their ML expertise.
Nice to have
- Experience deploying, scaling, and monitoring production models.
- Understanding of infrastructure challenges involved in training and serving predictions in Tier 0 environments.
Culture & Benefits
- Work in a small, highly international team of experienced engineers.
- Flat and agile organizational structure.
- Opportunity to collaborate with AI and ML experts on cutting-edge models.
- Comprehensive benefits and perks, with details varying by region.
- Inclusive workplace committed to equal employment opportunity and diversity.
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