Job Description:

- Build and maintain data pipelines to support machine learning model training, validation and scoring.

- Implement data ingestion, transformation and feature engineering tasks for ML and analytical workloads.

- Develop and maintain Python and SQL code for data and ML pipelines, ensuring accuracy and performance.

- Support production deployment of ML models by integrating data pipelines with model training and deployment workflows.

- Collaborate with data scientists and senior engineers to translate business and technical requirements into working solutions.

- Perform testing, monitoring and troubleshooting of data and ML pipelines across development and production environments.

- Work with CI/CD pipelines, Git and version control to ensure smooth and reliable deployments.

- Participate in code reviews, technical documentation and continuous improvement activities.

- Follow enterprise data engineering standards, platform guidelines and regulatory requirements.

📌 Ai Engineer (India)
🏢 Acme Services Private
📍 India