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
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
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