| ML engineer ( MLOps)-----Onsite Raleigh - NC at Raleigh, North Carolina, USA |
| Email: [email protected] |
| Hello, Hope you are doing well!! My name is Mamta Chauhan and I am a Staffing Specialist at Nityo InfoTech. I am reaching out to you on an exciting job opportunity with one of our clients. Role: ML engineer ( MLOps) Location:-***Onsite Raleigh - NC Tech Stack: ML, MLOPS Secondary: Python, Cloud Responsibilities: Collaborate with cross-functional teams to design, implement, and deploy machine learning models into production. Lead the development and implementation of MLOps practices to streamline the machine learning lifecycle. Work closely with data scientists and software engineers to integrate machine learning models with existing systems and applications. Implement and maintain continuous integration and delivery (CI/CD) pipelines for machine learning projects. Design and optimize infrastructure for scalable and efficient model training and deployment. Monitor and troubleshoot production machine learning systems to ensure optimal performance and reliability. Stay current with industry trends and best practices in MLOps and machine learning. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience in MLOps, with a strong understanding of best practices for machine learning model deployment and monitoring. Solid background in machine learning, including experience with model development, training, and evaluation. Proficiency in Python is highly preferred. Experience with containerization technologies such as Docker and orchestration tools like Kubernetes. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their machine learning services. Strong problem-solving and troubleshooting skills. Excellent communication and collaboration skills. Nice to Have: Knowledge of other programming languages such as Java or C++. Experience with version control systems (e.g., Git). Familiarity with data engineering and data preprocessing. Certification in MLOps or related fields. Thanks & Regards Mamta Chauhan Technical Recruiter Phone: 640-224-3118 Email: [email protected] Keywords: cplusplus continuous integration continuous deployment machine learning access management North Carolina |
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| Tue Jan 16 02:33:00 UTC 2024 |