Chelsoft Solutions Co.
Data Scientist_only on W2_only USC/GC
Chelsoft Solutions Co., Florida, New York, United States
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
8+ 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. Seniority level
Mid-Senior level Employment type
Contract Job function
Engineering and Information Technology
#J-18808-Ljbffr
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
8+ 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. Seniority level
Mid-Senior level Employment type
Contract Job function
Engineering and Information Technology
#J-18808-Ljbffr