Data Scientist – Palantir (GenAI MLOps Engineer)
JOB DESCRIPTION:
Required Skills and Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, or a related field.
• Strong hands-on experience working with Palantir Foundry and/or Palantir Gotham for data integration, transformation, and analysis.
• Proven experience in MLOps or similar roles involving machine learning and cloud operations.
• Strong knowledge of AWS services (e.g., SageMaker, Lambda, EC2, S3, Redshift, Glue, Kinesis).
• Proficiency in programming languages such as Python, SQL, and bash for data manipulation and automation.
• Experience with machine learning frameworks and tools like TensorFlow, PyTorch, Scikit-learn, MLflow, and Kubeflow.
• Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
• Solid understanding of CI/CD pipelines and tools like Jenkins, GitLab, or GitHub Actions.
• Strong problem-solving skills with the ability to troubleshoot and debug complex systems.
• Excellent communication skills, both written and verbal, with the ability to present technical concepts clearly.
Preferred Qualifications:
• Advanced degree (Master's or Ph.D.) in a relevant field.
• AWS Certified Solutions Architect or Certified Machine Learning Specialty certification.
• Familiarity with DevOps practices and tools.
• Experience with real-time data streaming and event-driven architectures.
• Knowledge of big data technologies like Hadoop, Spark, and Flink.
JOB DESCRIPTION:
Required Skills and Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, or a related field.
• Strong hands-on experience working with Palantir Foundry and/or Palantir Gotham for data integration, transformation, and analysis.
• Proven experience in MLOps or similar roles involving machine learning and cloud operations.
• Strong knowledge of AWS services (e.g., SageMaker, Lambda, EC2, S3, Redshift, Glue, Kinesis).
• Proficiency in programming languages such as Python, SQL, and bash for data manipulation and automation.
• Experience with machine learning frameworks and tools like TensorFlow, PyTorch, Scikit-learn, MLflow, and Kubeflow.
• Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
• Solid understanding of CI/CD pipelines and tools like Jenkins, GitLab, or GitHub Actions.
• Strong problem-solving skills with the ability to troubleshoot and debug complex systems.
• Excellent communication skills, both written and verbal, with the ability to present technical concepts clearly.
Preferred Qualifications:
• Advanced degree (Master's or Ph.D.) in a relevant field.
• AWS Certified Solutions Architect or Certified Machine Learning Specialty certification.
• Familiarity with DevOps practices and tools.
• Experience with real-time data streaming and event-driven architectures.
• Knowledge of big data technologies like Hadoop, Spark, and Flink.
