Overview
Remote
Depends on Experience
Contract - W2
Contract - 12 Month(s)
No Travel Required
Skills
Python
Docker
Kubernetes
Google Cloud Platform
Amazon Web Services
Vertex
Artificial Intelligence
Job Details
Required Skills
5+ years of experience in Data Engineering Strong Python from a programming perspective Experience with CICD Pipelines Experience with Containerization using Docker/Kubernetes Google Cloud Platform cloud experience Strong communication skills; should be able to collaborate with team members
Additional Skills
Experience with Vertex AI/Gemini AI
Job Description
<>Summary</>We are seeking a Data Science Engineer to join a specialized project team consisting of one Data Scientist and one Machine Learning Engineer. This role will focus on building and maintaining production-level data pipelines, implementing cloud solutions, and enabling machine learning workflows at scale. The ideal candidate will have strong expertise in Python, Google Cloud Platform (Google Cloud Platform), CI/CD, Docker/Kubernetes, and Vertex AI, with a proven ability to collaborate effectively in a fast-paced environment.
<>Day-to-Day Responsibilities</>
- Design, develop, and maintain data pipelines for machine learning models using Python and Vertex AI.
- Collaborate with Data Scientists and ML Engineers to operationalize propensity models and LLM-based solutions.
- Implement Google Cloud Platform/AWS 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.
- Monitor data integrity, security, and performance across cloud environments.
- Create and manage API endpoints for model integration and data services.
- Utilize Q Flow for Vertex AI to streamline ML workflows and pipeline execution.
- Ensure production-level code quality and adherence to best practices in software development.
<>Qualifications</>
- 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 Google Cloud Platform (preferred) or similar cloud platforms (AWS/Azure).
- Familiarity with Vertex AI and ML pipeline orchestration.
- Knowledge of data security and monitoring in cloud environments.
- Excellent communication and collaboration skills to work closely with cross-functional teams.
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