Machine Learning Engineer

About

We are seeking an experienced Machine Learning Engineer to design, develop, and deploy scalable ML models and advanced analytics solutions. The ideal candidate will have strong hands-on experience in PySpark, Python, SQL, and cloud platforms like Azure Databricks and Google Cloud.

You will work on large-scale data processing, predictive modeling, and ML Ops while collaborating with cross-functional teams to deliver actionable insights and data-driven solutions. Experience with NLP, GenAI, and dashboard analytics is highly preferred.

Key Responsibilities:

• Build and optimize ML models (forecasting, classification, clustering)
• Perform data analysis, feature engineering, and model validation
• Develop scalable data pipelines using PySpark and Databricks
• Work with large datasets to extract insights and improve decision-making
• Implement ML Ops practices for deployment and monitoring
• Collaborate with data engineers, analysts, and business teams
• Support dashboards and troubleshoot data/reporting issues