Senior Data Scientist

Job Description

Skillsets: Familiarity with Cloud Platforms (AWS, Azure, or Google Cloud) and cloud-native services. Experience with CI/CD pipelines, container orchestration, and cloud deployment. Proficiency in Python for backend development. Understanding of Databases and Data Storage Solutions in a cloud environment. Experience with Docker, Kubernetes, and Infrastructure-as-Code (IaC) tools. Strong problem-solving skills and ability to troubleshoot cloud-based deployments. Familiarity with Git for version control and team collaboration. Passion for learning new technologies and adapting to evolving cloud architectures. Nice-to-Have: Exposure to MLOps frameworks for model training and deployment. Understanding of security best practices in cloud environments. Knowledge of Serverless computing and API development using RESTful Frameworks. Familiarity with Web Development (HTML, CSS, JavaScript, React.JS). Responsibilities: Design, develop, and manage cloud-based data solutions on AWS/Azure. Implement and optimize CI/CD pipelines for seamless deployment of machine learning models and data applications. Work with Docker and other containerization technologies to streamline deployment and scalability. Automate and monitor cloud infrastructure to ensure reliability and performance. Support Data Storage Solutions, Database Management, and cloud-based ETL pipelines. Collaborate with data scientists, engineers, and DevOps teams to integrate cloud and MLOps best practices. Maintain version control and workflow efficiency using Git and DevOps methodologies.