Description

You will build and deploy scalable machine learning models to drive data engineering initiatives.

This role is on-site.

Responsibilities

• Build and deploy machine learning models using PySpark.
• Develop scalable solutions within AWS environments.
• Implement model building workflows using Spark and Databricks.
• Drive data engineering initiatives to support data-driven decision-making.

Required Skills

• 9-12 years of experience in Machine Learning and Data Science.
• Hands-on experience building and deploying models.
• Proficiency with PySpark and Spark.
• Experience with AWS.
• Experience with Databricks.
• Experience with TensorFlow or PyTorch.
• Experience with Scikit-learn.
• Any Graduate degree.

Preferred Skills

• Experience with GitHub Actions, Airflow, Docker, or AWS Glue.

Key Skills

Education

Any Graduate