| Data Scientist with Python :: ONSITE :: LOCAL TO NORTH CAROLINA at North, Virginia, USA |
| Email: [email protected] |
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From: MOHIT, VkoreSolutions [email protected] Reply to: [email protected] Experience: 5+ years of Data Science with proficiency in Python and experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch). Technical Experience: 2+ years of experience in Technical Python, AWS, and data analysis tools such as SQL and Pandas. We are seeking a highly skilled and motivated Data Scientist to join our asset manager team. The Data Scientist will be responsible for developing, testing, and maintaining high-quality ML-based software applications using Python, Machine Learning libraries, Typescript, Web frameworks like React, and other relevant technologies. This role involves designing scalable solutions on AWS, supporting data-driven decision making, and integrating machine learning models with existing data pipelines. Key Responsibilities: ML Application Development: Develop, test, and maintain high-quality ML-based software applications using Python, Machine Learning libraries, Typescript, Web frameworks like React, and other relevant technologies. Scalable Solutions: Design and implement scalable and efficient solutions on AWS, ensuring robust performance and security. Data-Driven Decision Making: Support data-driven decision making by using Prefect for workflow orchestration and SQL, Snowflake for data warehousing. Model Development: Develop and deploy machine learning models using Python and relevant libraries/frameworks. Integration: Integrate machine learning solutions with existing data pipelines and DevOps practices. scaladie solutions: Uesign ana implement scatadte ana emcient solutions on Avs, ensuring roDust perrormance ana security. Data-Driven Decision Making: Support data-driven decision making by using Prefect for workflow orchestration and SQL, Snowflake for data warehousing. Model Development: Develop and deploy machine learning models using Python and relevant libraries/frameworks. Integration: Integrate machine learning solutions with existing data pipelines and DevOps practices. Production Management: Manage production-level code and ensure the reliability of machine learning models in a live environment. Containerization: Utilize Docker and Kubernetes for containerization and orchestration of applications. Collaboration: Collaborate with cross-functional teams to capture requirements, design solutions, and ensure successful project delivery. Support and Troubleshooting: Provide production support, troubleshoot issues, and implement fixes to ensure the smooth operation of software applications Code Reviews and Best Practices: Participate in code reviews, contribute to standard methodologies, and continuously improve the development process. Industry Trends: Stay updated with the latest industry trends and technologies to ensure our solutions remain at the forefront of innovation. Who You Are: Passion for Data Science: You have a passion for data science and application development, thriving on innovation through the art of coding and storytelling. Team Player: You are an excellent team player who collaborates effectively with both technical colleagyes and business partners. Hands-on Experience: You have hands-on experience with data science and machine learning techniques. Production Management: You have experience managing production-level code and deploying applications using Docker, Kubernetes, and Prefect/Airflow. Keywords: machine learning Data Scientist with Python :: ONSITE :: LOCAL TO NORTH CAROLINA [email protected] |
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| 11:40 PM 20-Nov-24 |