onsite
Data & AI Scientist
Software Engineer
Data & AI Scientist driving end‑to‑end ML solutions on Azure, orchestrating pipelines with Airflow, and managing CI/CD via Azure DevOps. Strong Python and data engineering skills required to build scalable, production‑grade AI models.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models using Azure Machine Learning services.
- Build and maintain robust data pipelines with Apache Airflow, ensuring data quality and reliability.
- Implement CI/CD workflows in Azure DevOps to automate model training, testing, and deployment.
- Collaborate with data engineers and product teams to translate business requirements into technical solutions.
- Monitor model performance in production, troubleshoot issues, and iterate for continuous improvement.
Requirements
- Proven experience with Python, data manipulation libraries (pandas, NumPy), and ML frameworks (scikit‑learn, PyTorch, TensorFlow).
- Hands‑on expertise in Azure ML, Azure DevOps, and Airflow orchestration.
- Strong understanding of data engineering concepts, ETL processes, and cloud data storage.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
Skills
pythonairflowmachine learning