Role : Senior MLOps Engineer (Azure)
Location: Bengaluru(Mahadevapura)
Work Mode: 5 Days Work from office
Joining: Immediate / Short Notice Preferred
Job Summary:
We are hiring a Senior Machine Learning Engineer to design, develop, and deploy scalable ML solutions on Azure. The role involves working with supply chain and financial data, building production-ready models, and implementing MLOps pipelines.
Key Responsibilities:
- Build, train, and deploy ML models at scale
- Develop end-to-end ML pipelines using Azure ML
- Implement MLOps practices (CI/CD, monitoring, retraining)
- Build batch and real-time data pipelines
- Integrate ML models into applications via APIs/microservices
Required Skills:
- Strong experience 5-10 Years in end-to-end ML lifecycle
- Proficiency in Python
- Experience with scikit-learn, TensorFlow, PyTorch
- Hands-on experience with Azure ML, Azure Databricks
- Knowledge of MLOps (CI/CD pipelines, model monitoring)
- Experience in deploying ML models in production environments
Preferred Skills:
- Experience in supply chain / procurement / financial data
- Exposure to streaming/real-time processing
- Knowledge of distributed systems (Spark, Hadoop)
- Awareness of Generative AI / Agentic AI
