Jobs via Dice
Role
Data Scientist Engineer
Location
REMOTE
Duration
12 Months
Required Skills 5+ years of experience in Data Engineering
Strong Python from a programming perspective
Experience with CI/CD 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
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
Seniority Level
Mid-Senior level
Employment Type
Full-time
Job Function
Engineering and Information Technology
Industries
Software Development
#J-18808-Ljbffr
Data Scientist Engineer
Location
REMOTE
Duration
12 Months
Required Skills 5+ years of experience in Data Engineering
Strong Python from a programming perspective
Experience with CI/CD 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
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
Seniority Level
Mid-Senior level
Employment Type
Full-time
Job Function
Engineering and Information Technology
Industries
Software Development
#J-18808-Ljbffr