Description

You will apply machine learning and data engineering expertise to drive integration, transformation, and analysis workflows.

This role is on-site.

Responsibilities

• Execute data integration and transformation using Palantir Foundry or Palantir Gotham.
• Manage machine learning lifecycles through MLOps and cloud operations.
• Build and maintain CI/CD pipelines for automated deployment.
• Troubleshoot and debug complex systems and data pipelines.
• Communicate technical concepts and findings to stakeholders.

Required Skills

• 10+ years of professional experience.
• Proficiency in Python, SQL, and Bash.
• Hands-on experience with Palantir Foundry and/or Palantir Gotham.
• Deep knowledge of AWS services including SageMaker, Lambda, EC2, S3, Redshift, Glue, and Kinesis.
• Experience with machine learning frameworks: TensorFlow, PyTorch, Scikit-learn, MLflow, and Kubeflow.
• Practical use of Docker and Kubernetes for containerization and orchestration.
• Experience implementing CI/CD pipelines using Jenkins, GitLab, or GitHub Actions.
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, or a related field.

Preferred Skills

• Advanced degree (Master's or Ph.D.) in a relevant field.
• AWS Certified Solutions Architect or Certified Machine Learning Specialty.
• Experience with DevOps, real-time data streaming, event-driven architectures, Hadoop, Spark, or Flink.

Key Skills

Education

Any Graduate