Job Description
**Responsibilities:**
Design and deploy predictive models (e.g., forecasting, churn analysis, fraud detection) using Python/SQL, Spark MLlib, and Databricks ML
Build end-to-end ML pipelines (data ingestion ? feature engineering ? model training ? deployment) on Databricks Lakehouse
Optimize model performance via hyperparameter tuning, AutoML, and MLflow tracking
Collaborate with engineering teams to operationalize models (batch/real-time) using Databricks Jobs or REST APIs
Implement Delta Lake for scalable, ACID-compliant data workflows.
Enable CI/CD for ML pipelines using Databricks Repos and GitHub Actions
Troubleshoot issues in Spark Jobs and Databricks Environment.
**Requirements:**
5+ years in predictive analytics, with expertise in regression, classification, time-series modeling
Hands-on experience with Databricks Runtime for ML, Spark SQL, and PySpark
Familiarity with MLflow, Feature Store, and Unity Catalog for governance.
Industry experience in Life Insurance or P&C.
**Skills:**
Python, PySpark , MLflow , Databricks AutoML
Predictive Modelling ( Classification , Clustering , Regression , timeseries and NLP)
Cloud platform (Azure/AWS) , Delta Lake , Unity Catalog
**Certifications**
Databricks Certified ML Practitioner
Qualification and Experience:
B.Tech/BE or MCA
Experience: 5+ years
Keyskills: Predictive Modelling Databricks AutoM Python PySpark MLflow
Trigyn Technologies ltd Trigyn is an ISO 9001:2008 certified, and CMMI Level 5 assessed company. Trigyn Technologies is an IT Services Company that has been in business for more than 30 years. Trigyn provides IT Solutions, Consulting, Systems Integration, Managed Services, Software Development, ...