| Need----Machine Learning Engineer with Healthcare Domain---Remote at Remote, Remote, USA |
| Email: ramakant@smartitframe.com |
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https://rb.gy/r1ud0k https://jobs.nvoids.com/job_details.jsp?id=2149189&uid= From: Rama Kant Tiwari, Smart IT Frame LLC. ramakant@smartitframe.com Reply to: ramakant@smartitframe.com JD: Machine Learning Engineer Remote 3 or more years relevant Machine Learning Engineer Experience Production Deployment and Model Engineering: Proven experience in deploying and maintaining production-grade machine learning models, with real-time inference, scalability, and reliability. Scalable ML Infrastructures: Proficiency in developing end-to-end scalable ML infrastructures using on-premise cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Azure. Engineering Leadership: Ability to lead engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks while aligning with business strategic directions. AI Pipeline Development: Experience in developing AI pipelines for various data processing needs, including data ingestion, preprocessing, and search and retrieval, ensuring solutions meet all technical and business requirements. Collaboration: Demonstrated ability to collaborate with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines for continuous improvement of machine learning models. Continuous Integration/Continuous Deployment (CI/CD) Pipelines: Expertise in implementing and optimizing CI/CD pipelines for machine learning models, automating testing and deployment processes. Monitoring and Logging: Competence in setting up monitoring and logging solutions to track model performance, system health, and anomalies, allowing for timely intervention and proactive maintenance. Version Control: Experience implementing version control systems for machine learning models and associated code to track changes and facilitate collaboration. Security and Compliance: Knowledge of ensuring machine learning systems meet security and compliance standards, including data protection and privacy regulations. Documentation: Skill in maintaining clear and comprehensive documentation of ML Ops processes and configurations. Preferred: Proficiency in Containerization Technologies: Experience with Docker, Kubernetes, or similar tools. Healthcare Expertise: Understanding of healthcare regulations and standards, and familiarity with Electronic Health Records (EHR) systems, including integrating machine learning models with these systems. Masters Degree a plus Bachelors Degree computer science, artificial intelligence, informatics or closely related field Certification(s) in Machine Learning a plus. Thanks, and Regards Rama Kant Tiwari Team Lead Email: ramakant@smartitframe.com Smart IT Frame LLC. Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology Need----Machine Learning Engineer with Healthcare Domain---Remote ramakant@smartitframe.com https://rb.gy/r1ud0k https://jobs.nvoids.com/job_details.jsp?id=2149189&uid= |
| ramakant@smartitframe.com View All |
| 04:11 AM 06-Feb-25 |