Description

You will drive digital transformation and data engineering initiatives by building and deploying scalable machine learning models.

Responsibilities

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

Required Skills

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

Preferred Skills

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

Key Skills

Education

Any Graduate