Senior Manager, Data & AI Engineer leading data & AI engineering capabilities for AI Transformation programs across projects in China. Collaborating with global teams to enhance data governance and product delivery.
About the role
- Lead AI Engineer responsible for building production-ready AI applications with Azure. Collaborate on AI pipelines and model integration for scalable deployments.
Responsibilities
- Design and build end-to-end data and AI pipelines using Azure Databricks.
- Develop robust ETL/ELT workflows using Python (PySpark) and SQL.
- Implement CI/CD pipelines for Databricks deployments (jobs, notebooks, workflows).
- Integrate Databricks with Azure services (Data Lake, Blob Storage, Key Vault, Azure OpenAI, Azure Functions, etc.).
- Optimize jobs for performance, cost, and reliability.
- Build reusable, modular code.
- Collaborate with data scientists and platform teams to move models from experimentation to production.
- Implement logging, monitoring, and error handling for production pipelines.
- Develop and deploy ML and Generative AI models (LLMs, embeddings, RAG pipelines) for NLP, computer vision, and predictive analytics.
- Fine-tune LLMs using LoRA/QLoRA and integrate with Azure OpenAI or Hugging Face models.
- Implement vector search and retrieval pipelines using FAISS or Azure Cognitive Search.
- Ensure responsible AI practices, including bias detection and model governance.
Requirements
- Azure Databricks (jobs, workflows, clusters, Unity Catalog preferred).
- Python (PySpark-heavy, not just pandas).
- SQL (complex joins, window functions, analytical queries).
- Azure Cloud (ADLS Gen2, ADF, Key Vault, IAM concepts).
- Pipeline orchestration & deployment (CI/CD, environment promotion).
- Azure DevOps.
- Strong understanding of ML lifecycle and MLOps best practices.
- Experience with model deployment using MLflow or similar frameworks.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
AI Engineer focused on building data platforms and solutions for analytics at PRODYNA. Collaborating with Data Architects and ML Engineers in a hybrid working model in Athens, Greece.
Full stack engineer developing and scaling generative AI applications at PwC. Collaborating across teams to enhance software solutions and mentor junior engineers while maintaining high standards.
Developer Technology Engineer pushing boundaries of AI and computing at NVIDIA. Collaborate with teams to develop next - generation software platforms and performance optimization.
Software Development Engineer III developing AI products and deployment pipelines for Finance team. Collaborating with Product Managers to deliver trusted and explainable AI systems.
Head of AI Engineering leading AI Engineering function across enterprise deployments. Define strategy, mentor team, oversee delivery of AI solutions.
Senior AI Engineer developing advanced AI solutions at Daimler Truck Financial. Leading deployment of Generative and Agentic AI technologies in a collaborative environment.
Lead AI Platform Engineer bridging AI workloads and production infrastructure focused on NVIDIA stack optimizations. Design and implement scalable AI systems in hybrid work environment.
AI Engineer at Lucis building AI agents for preventive health. Collaborate with medical teams and develop reliable systems for analyzing health data.
Applied AI Architect at Intapp developing and deploying AI solutions for enterprise clients. Collaborating across teams and driving adoption of AI technologies in complex environments.