| Hiring AI ML Engineer-Dallas, Texas at Dallas, Texas, USA |
| Email: kowsalya.a@idctechnologies.com |
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From: Kowsalya.a, IDC kowsalya.a@idctechnologies.com Reply to: kowsalya.a@idctechnologies.com Hello Hope you are doing great. We have an opening for the position of AI/ML Engineer- Dallas, Texas Contract position for our clients, kindly read the job description and let me know your interest. Experience : 8-10 Years We are seeking an experienced AI/ML Engineer who will have a strong background in computer science or engineering, with significant experience in AI and machine learning engineering. You will be responsible for developing and deploying large-scale applications in cloud environments, ensuring robust performance monitoring, and collaborating effectively with both technical and non-technical stakeholders. Responsibilities: Four or more years of experience in computer software development. At least two years of experience in AI/ML Engineering. Proficiency in programming languages such as Python and Java. Experience in developing large applications in cloud environments (AWS, GCP, on-premise). Hands-on experience with Kubernetes (K8s) for deploying and managing large applications. Strong understanding of real-time system performance monitoring and statistics collection. Basic knowledge of real-time feature engineering practices. Understanding of basic data science concepts and the needs of data scientists. Strong collaboration and communication skills, especially with non-technical business stakeholders. Experience with cloud infrastructures and MLOps practices. Familiarity with CI/CD processes and frameworks such as ArgoCD. Develop, deploy, and maintain large-scale applications in cloud environments including AWS, GCP, and on-premise clusters. Utilize expertise in RTML model serving and large-scale real-time framework development. Implement and manage Kubernetes (K8s) architecture, ensuring proper configuration and troubleshooting. Collect and monitor real-time system performance statistics. Apply basic real-time feature engineering methodologies and practices. Collaborate with data scientists to understand their needs and integrate AI/ML solutions effectively. Engage with business stakeholders to understand requirements and communicate technical solutions clearly. Ensure the adoption of best practices in MLOps and cloud infrastructures. Implement and manage CI/CD processes using frameworks such as ArgoCD. Qualification: Bachelor's degree or equivalent combination of education and experience Keywords: continuous integration continuous deployment artificial intelligence machine learning Hiring AI ML Engineer-Dallas, Texas kowsalya.a@idctechnologies.com |
| kowsalya.a@idctechnologies.com View All |
| 04:44 AM 02-Jul-24 |