ML Engineer - Raleigh, NC (Day 1 Onsite) - CTS at Raleigh, North Carolina, USA |
Email: [email protected] |
From: Maneesh, Centraprise [email protected] Reply to: [email protected] Job Title: ML Engineer Location: Raleigh, NC (Day 1 Onsite) Job Type: Contract Must Have 12+ Years of Experience Must Have Skills: ML, MLOPS, 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. If interested, please fill the below details and revert with your updated resume. Candidate Full Name Current Location Phone Email ID Skype ID Linked in ID Passport number Total Years of Experience Education Visa Status Willing to relocate Rate Last 4 Digits of SSN#: Availability to start on the project Previously worked with Cognizant (Y/N) If Yes Provide the CTS Emp ID Interview Availability with the time Zone Thanks & Regards Maneesh Sanghi| US IT Recruiter Centraprise Corp Desk/Direct: 8482711949 Ext 1039 3 Ethel Rd, #304, Edison, NJ 08817 [email protected] Keywords: cplusplus continuous integration continuous deployment machine learning information technology Idaho New Jersey North Carolina |
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Fri Jan 12 19:55:00 UTC 2024 |