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 GCP 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 GCP (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 GCP/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 GCP (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.
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 GCP cloud experience Strong communication skills; should be able to collaborate with team ...
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 GCP 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 GCP (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 GCP/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 GCP (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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