Location – Belgrade, Serbia
Build the Future of AI-Powered Products at Databricks
Databricks is seeking a talented Senior Applied AI Engineer to join its innovative Applied ML/AI team. This role offers the opportunity to work on advanced machine learning systems that improve the usability, intelligence, and efficiency of Databricks products, including AutoML and other customer-facing solutions.
As a Senior Applied AI Engineer, you will leverage machine learning algorithms, optimization techniques, deep learning models, and statistical methods to solve complex business challenges. Your work will directly influence how organizations maximize the value of their data while benefiting from highly scalable and cost-efficient AI-powered products.
About the Role
The Applied ML/AI team at Databricks focuses on building intelligent solutions that enhance product performance and customer experiences. The team develops and deploys machine learning technologies spanning:
- Classification
- Regression
- Forecasting
- Recommendation Systems
- Deep Learning Models
- Foundation Models
- Feature Augmentation
- Auto-Tuning Systems
From traditional statistical approaches to state-of-the-art AI architectures, the team tackles some of the most challenging machine learning problems faced by modern businesses.
This position provides the opportunity to work on high-impact initiatives that help Databricks customers unlock greater value from their data and AI investments.
Key Responsibilities
Develop Advanced AI & Machine Learning Solutions
- Build features and develop end-to-end systems within a small team of experienced engineers and data scientists.
- Drive the development and deployment of state-of-the-art ML/AI models and systems that enhance Databricks products, services, and infrastructure.
- Apply machine learning and optimization algorithms to improve AutoML and other customer-facing products.
Influence Product & Technology Strategy
- Shape the future direction of Databricks’ applied machine learning investments.
- Collaborate with engineering and product teams across the organization to identify and deliver impactful AI-driven solutions.
Design Scalable ML Infrastructure
- Architect and implement robust machine learning infrastructure.
- Develop scalable model training and serving systems.
- Support seamless deployment and integration of AI/ML models into production environments.
Innovate in Forecasting & Modeling
- Explore and develop novel machine learning techniques in forecasting.
- Advance modeling capabilities through experimentation with statistical, deep learning, and foundational AI approaches.
Contribute to the AI Community
- Present research, innovations, and technical insights at industry conferences.
- Participate in open-source initiatives that strengthen Databricks’ leadership within the AI and machine learning ecosystem.
Required Qualifications
Professional Experience
- 2–8 years of machine learning engineering experience in high-growth, fast-paced technology companies.
- Experience developing AI and machine learning systems at scale in production environments.
- Proven ability to build and deploy machine learning solutions that deliver measurable business impact.
Technical Expertise
- Strong understanding of computer systems and statistical methodologies.
- Demonstrated success in ML modeling beyond standard out-of-the-box library usage.
- Experience working with advanced machine learning algorithms and optimization techniques.
- Strong software engineering and coding skills.
- Familiarity with testing, code reviews, deployment workflows, and software development best practices.
Analytical & Mathematical Skills
- Broad knowledge of mathematical modeling or a strong willingness to expand expertise beyond traditional machine learning methodologies.
- Ability to solve complex technical problems using data-driven approaches.
Preferred Qualifications
- Experience deploying, scaling, and monitoring machine learning models in production environments.
- Understanding of infrastructure challenges associated with training and serving predictions in Tier 0 environments.
What Makes This Opportunity Unique?
Working at Databricks means contributing to products used by thousands of organizations worldwide while solving some of the most challenging problems in artificial intelligence and machine learning.
You will have the opportunity to:
- Work on cutting-edge AI and machine learning technologies.
- Develop large-scale production AI systems.
- Collaborate with leading AI researchers, engineers, and data scientists.
- Influence the future of AutoML and intelligent product experiences.
- Build solutions that directly impact customer success and business outcomes.
Why Join Databricks?
At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.
If you’re excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!
About Databricks
Databricks is the Data and AI company trusted by more than 10,000 organizations globally. Industry leaders including Comcast, Condé Nast, Grammarly, and more than 50% of Fortune 500 companies rely on the Databricks Data Intelligence Platform to unify data, analytics, and artificial intelligence.
Headquartered in San Francisco with offices worldwide, Databricks was founded by the original creators of:
- Lakehouse Architecture
- Apache Spark™
- Delta Lake
- MLflow
The company continues to lead innovation across data engineering, analytics, and artificial intelligence.
Benefits & Perks
Databricks offers a comprehensive benefits package designed to support employees both personally and professionally. Benefits and perks may vary by region and location.
Diversity, Equity & Inclusion
Databricks is committed to fostering a diverse, equitable, and inclusive workplace where every employee can thrive and contribute their best work.
The company maintains inclusive hiring practices and provides equal employment opportunities regardless of age, race, ethnicity, disability, gender identity, sexual orientation, religion, marital status, veteran status, socio-economic background, political affiliation, or any other protected characteristic.
Compliance Notice
Some positions may require access to export-controlled technology or source code. Where applicable, employment may be subject to obtaining required government authorizations. Databricks reserves the discretion to determine eligibility based on applicable legal and regulatory requirements.
Apply for Senior Applied AI Engineer Jobs at Databricks
If you are passionate about machine learning, artificial intelligence, forecasting, optimization algorithms, scalable ML systems, and building production-grade AI solutions, this is your opportunity to join one of the world’s leading Data and AI companies and make a lasting impact.