[Remote] Data Scientist Engineer - W2 (NO C2C,1099) - US Remote - Posted by Tauqeer

Remote, USA Full-time
Note: The job is a remote job and is open to candidates in USA. Dice is the leading career destination for tech experts, and they are seeking a Data Science Engineer to join a specialized project team. This role focuses on building and maintaining production-level data pipelines, implementing cloud solutions, and enabling machine learning workflows at scale. 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. 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 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. • Experience with Vertex AI/Gemini AI Company Overview • Welcome to Jobs via Dice, the go-to destination for discovering the tech jobs you want. It was founded in undefined, and is headquartered in , with a workforce of 0-1 employees. Its website is Apply tot his job
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