| AWS SageMaker,::Onsite H1B at Remote, Remote, USA |
| Email: swaraj.t@twsol.com |
|
https://jobs.nvoids.com/job_details.jsp?id=2065001&uid= From: Swaraj Tiwari, Teamware Solutions swaraj.t@twsol.com Reply to: swaraj.t@twsol.com GS 9810201: AWS SageMaker, Python, and AI/ML Expertise Job Title: AWS SageMaker & Python Developer (AI/ML) Key Requirements: Experience with AWS SageMaker: Hands-on experience in using AWS SageMaker for developing, training, and deploying machine learning models. Python Proficiency: Strong experience in Python, including libraries such as Pandas, NumPy, and Scikit-learn for data processing and machine learning tasks. AI/ML Exposure: Experience in building and deploying machine learning models, familiarity with supervised and unsupervised learning techniques, and proficiency in model evaluation and optimization. Cloud Computing: Experience in working with AWS cloud services and deployment pipelines for machine learning solutions. Additional Skills: Familiarity with other AWS services like S3, EC2, Lambda, and Glue, and knowledge of best practices for MLOps. Keywords: artificial intelligence machine learning sthree AWS SageMaker,::Onsite H1B swaraj.t@twsol.com https://jobs.nvoids.com/job_details.jsp?id=2065001&uid= |
| swaraj.t@twsol.com View All |
| 07:25 AM 09-Jan-25 |