Description

You will design, develop, and maintain data pipelines for machine learning models.

This role is remote.

Responsibilities

• Design, develop, and maintain data pipelines for ML models using Python and Vertex AI.
• Collaborate with Data Scientists and ML Engineers to operationalize propensity models and LLM-based solutions.
• Implement GCP, AWS, or Azure cloud solutions, ensuring security, scalability, and compliance.
• Build and manage CI/CD pipelines for automated deployments and testing.
• Containerize applications using Docker and orchestrate with Kubernetes.

Required Skills

• 5+ years of experience in Data Engineering or related field.
• Strong programming skills in Python, including experience with relevant libraries and frameworks.
• Hands-on experience with CI/CD pipelines and automation tools.
• Proficiency in containerization using Docker and Kubernetes.
• Solid understanding of GCP or similar cloud platforms (AWS/Azure).
• Familiarity with Vertex AI and ML pipeline orchestration.
• Knowledge of data security and monitoring in cloud environments.

Key Skills

Education

Any Graduate