| Requirement of MLOPS Consultant for the location of Raleigh, NC (Onsite) at Raleigh, North Carolina, USA |
| Email: [email protected] |
| From: Makkuri Deepak Yadav, Axiustek.com [email protected] Reply to: [email protected] Hi Professionals, This is Deepak from Axius Technologies, Please check the below job description and let me know if you are interested. Job Title: MLOPS Consultant Location: Raleigh, NC (Onsite) Tech Stack: ML, MLOPS Secondary: Python, Cloud Experience 10-12Yrs 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. Job Title: MLOPS Consultant Location: Raleigh, NC (Onsite) Tech Stack: ML, MLOPS Secondary: Python, Cloud Experience 10-12Yrs 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. Keywords: cplusplus continuous integration continuous deployment machine learning North Carolina |
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| Fri Jan 12 00:57:00 UTC 2024 |