Description

You will build and maintain data-driven solutions using advanced analytics and machine learning.

Responsibilities

• Leverage Palantir Foundry or Gotham for data integration, transformation, and advanced analytics.
• Design and implement scalable machine learning solutions following MLOps practices.
• Develop and automate data pipelines using Python, SQL, and Bash.
• Utilize AWS services (SageMaker, Lambda, EC2, S3, Redshift, Glue, Kinesis) for cloud-native workflows.
• Implement CI/CD pipelines using Jenkins, GitLab, or GitHub Actions.

Required Skills

• 15+ years of experience in data science or data engineering.
• Strong hands-on experience with Palantir Foundry and/or Palantir Gotham.
• Proficiency in Python, SQL, and Bash scripting.
• Solid understanding of MLOps and cloud-native machine learning.
• Experience with AWS services and modern ML tools (TensorFlow, PyTorch, Scikit-learn).
• Familiarity with Docker and Kubernetes for containerization.
• Experience implementing CI/CD processes.
• Bachelor’s or Master’s degree in Computer Science or Data Engineering.

Key Skills

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering