| AWS SageMaker,::Onsite H1B at Remote, Remote, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2065001&uid= From: Swaraj Tiwari, Teamware Solutions [email protected] Reply to: [email protected] 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 [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2065001&uid= |
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| 07:25 AM 09-Jan-25 |