| Machine Learning Engineer at remote at Remote, Remote, USA |
| Email: [email protected] |
|
From: convextech, convextech inc [email protected] Reply to: [email protected] Hi, Hope you are doing good.!! Please let me know if you are interested in the below position.!! Position: Machine Learning Engineer Location: Remote PST hours Duration: 12+ Months Contract Visa: Only USC/GC/EAD Interview: Video Job Description: NOTE:- Looking for Healthcare focused within Electronic Health Records. Proficiency in Containerization Tech exp with Docker, Kubernetes, or similar. Please note you must have EHR and Healthcare setting experience to be considered. Job Description: Desired Experience for a Machine Learning Engineer 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 MD. Raj Khan Technical Recruiter ConvexTech Inc. Email id- [email protected] LinkedIn - linkedin.com/in/md-raj-khan-9b1498204 Keywords: continuous integration continuous deployment artificial intelligence machine learning green card Idaho Maryland Machine Learning Engineer at remote [email protected] |
| [email protected] View All |
| 05:19 AM 24-Jan-25 |