Design and build an agentic AI platform to manage renewable energy certificates and automate related workflows. Collaborate across teams to integrate the platform, optimize user onboarding, and iterate based on feedback and metrics.
About the role
- AI Engineer focusing on building production-ready applications and deploying on Azure Databricks. Designing data and AI pipelines while collaborating with teams for scalability and maintainability.
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
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