Job Title: Machine Learning Engineer Location:New York NY (Hybrid 3 days onsite)
Job Description: 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
Onsite Interview - Visa independent Job Title: Machine Learning Engineer Location: New York NY (Hybrid 3 days onsite) Job Description: We are seeking an experienced Machine Learning Engineer to design develop and deploy scalable ML models and advanced analytics solutions. The ideal candidate ...
Onsite Interview - Visa independent
Job Title: Machine Learning Engineer Location:New York NY (Hybrid 3 days onsite)
Job Description: 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