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Senior Data Engineer builds and maintains scalable data pipelines and models for small business intelligence products using Databricks, PySpark, and MLFlow, focusing on entity resolution and customer impact.
Build and deploy ML models to detect account-sharing fraud in real time for a global anime streaming platform, using anomaly detection and cloud-based MLOps pipelines.
Designs and builds scalable data pipelines and Lakehouse architectures on Databricks, focusing on Spark, Delta Lake, and Medallion principles to support analytics, ML, and AI workloads for enterprise clients.
Build and deploy ML models end-to-end in healthcare, from EDA to production on GCP, using Python, LLMs/GenAI, and MLOps pipelines.
Senior Staff Applied AI Engineer at Databricks builds and owns the retrieval stack and search subagents for AI agents, enabling context retrieval across enterprise SaaS data using IR, RAG, and agentic systems.
P-1554 As a Staff Technical Designated Engineer and tech subject matter expert, you will partner closely with our Field and Engineering teams to deliver high-touch specialized support and tailored technical solutions…
Lead Databricks’ global identity and access management systems, defining strategy and architecture for secure, scalable authentication and governance across employees and customers.
Builds and scales the core infrastructure for AI platforms at Databricks, including MLflow, AI Gateway, and model serving systems, using Scala, Go, or Python.
Build and scale LLM inference infrastructure for enterprise AI workloads, enabling customers to serve and optimize frontier models with high reliability and performance.
Build and scale the backend infrastructure that powers Databricks’ AI platform, including MLflow, model serving, and vector search, using Scala, Go, or Python.
Solutions Architect at Databricks working in Field Engineering to help customers design scalable data architectures using the Databricks Lakehouse platform. Partners with Sales on account strategies, builds reference architectures and demos, consults on big data engineering, data pipelines, and ML projects using Spark, Delta Lake, and MLflow.
Designs and implements big data architectures for enterprise customers using Databricks' platform, APIs, and open-source tools like Spark and MLflow, while collaborating with sales and engineering teams.
Solutions Architect at Databricks designs and implements data and AI solutions for customers using the Databricks platform, Apache Spark, and cloud technologies.
A Solutions Architect at Databricks partners with large healthcare/life sciences clients to design and drive adoption of data, AI, and ML solutions, leveraging cloud and big data technologies.
Designs, builds, and maintains scalable backend services for a large-scale data and AI platform, using Java/Scala, cloud technologies, and distributed systems.
Conçoit et maintient des plateformes IA en cloud ou on-premise, automatise les déploiements MLOps/LLMOps et garantit la sécurité et la conformité des services.
Designs and builds AI-powered features for a work-management platform, focusing on large language models and machine learning to automate tasks and surface insights.
Design, build, and productionize large-scale machine learning and generative AI systems, implementing robust MLOps workflows using MLflow and deploying on Databricks.
Build and maintain ML infrastructure and pipelines for anime-streaming platform, deploying models with AWS SageMaker, Databricks, and Kubernetes to power recommendations and system health monitoring.
Привет! Это команда Базовых ML Моделей. Мы строим единую систему оценки качества ML-решений в Озоне — от классических моделей до больших языковых моделей. Наша задача — находить лучшие ML-разработки внутри компании,…
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