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Job Summary:
We are looking for a Data Engineer with AI expertise and 1–3 years of experience to design, build, and optimize data pipelines, storage systems, and analytics solutions that power AI and machine learning applications. The ideal candidate should have hands-on experience with data engineering tools, cloud platforms, and machine learning workflows to deliver scalable, data-driven solutions.
Key Responsibilities:
Design, develop, and maintain data pipelines and ETL/ELT workflows for large-scale data processing.
Work with structured and unstructured data across multiple sources, ensuring data quality, reliability, and accessibility.
Build and manage data warehouses and data lakes using platforms such as Snowflake, BigQuery, Redshift, or Azure Synapse.
Develop data models, schemas, and transformation logic to support analytics and AI use cases.
Collaborate with Data Scientists and Machine Learning Engineers to prepare and serve data for training, inference, and experimentation.
Integrate and deploy machine learning models into production environments using frameworks like TensorFlow, PyTorch, or scikit-learn.
Optimize data pipelines for performance, scalability, and cost efficiency in cloud environments (AWS, Azure, or GCP).
Implement data governance, security, and compliance best practices.
Support CI/CD workflows and MLOps practices for continuous model and data pipeline deployment.
Collaborate with cross-functional teams (AI, Analytics, DevOps, Product) to deliver high-impact, data-driven solutions.
Reach me at jessica
Additional Information
| Job Type: | IT Job |
|---|---|
| Work Authorization: | US Citizen, Green Card |
| Employment: | W2-Permanent, W2-Contract, Full Time |
| Functional Area: | IT Software |
| No. of Job Openings: | 20+ |
| Company Address: | California, USA |
| Job Location: | New York, NY |
| Gender: | Any |
| Qualification: | High School |
| Industry: | IT Software / Services |
| Language: | English |

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