| AI/ML Engineer at CHARLOTTE NC ( Day One Onsite Hybrid ) at Charlotte, North Carolina, USA |
| Email: [email protected] |
| Hi Professional, I am writing to let you know regarding a job opportunity as AI/ML Engineer with Cognizant. Mentioned is the job description for your review. Job Title: AI/ML Engineer Location: CHARLOTTE NC ( Day One Onsite Hybrid ) Job Type: Contract Job Description: Experience: 11+ Years Job Summary: Familiarity with cloud based services, containerization (e.g., Docker), and server deployment. Solid understanding of software development principles, version control systems. and continuous integration/continuous deployment (CI/CD) pipelines. Work in a hybrid model-2-3 days a week. Roles & Responsibilities: - NLP Model Development: Design and implement state-of-the-art NLP models and algorithms for various text/image/video files classification tasks. - Preprocess and transform raw text data into suitable numerical representations, applying techniques such as tokenization, stop word removal, and TF-IDF to extract meaningful features. - Model Training and Evaluation: Train and fine-tune NLP models using large-scale datasets, and evaluate their performance using appropriate metrics like accuracy, precision, recall, Fl-score, and ROC curves. - Model Deployment: Deploy NLP models in production environments, ensuring scalability, efficiency, and robustness. Integrate the models with production servers, APIs, and web services for seamless end- to-end functionality. - Monitoring and Maintenance: Implement logging and monitoring mechanisms to track model performance and behavior in real-time. - Proactively identify and resolve any issues or errors that arise during deployment. - Performance Optimization: Continuously optimize model inference times, memory usage, and resource consumption to achieve optimal performance and responsiveness in production servers. - Data Management: Collaborate with data engineers to ensure the availability, quality, and reliability of data used for training and inference. - Manage data versioning and storage in compliance with best practices and privacy regulations. - Strong proficiency in programming languages such as Python, along with libraries like TensorFlow, PyTorch. scikit-learn, and NLTK. - Proven experience in developing and deploying NLP models for text classification tasks in realworld applications. - Knowledge of deep learning architectures, transformer models, and word embeddings for NLP 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 Isaac [email protected] Mobile: 201-898-2218 Direct: 469-923-8111 Centraprise We respect your online privacy. If you would like to be removed from our mailing list please reply with "Remove" in the subject and we will comply immediately. We apologize for any inconvenience caused. Please let us know if you have more than one domain. The material in this e-mail is intended only for the use of the individual to whom it is addressed and may contain information that is confidential, privileged, and exempt from disclosure under applicable law. If you are not the intended recipient, be advised that the unauthorized use, disclosure, copying, distribution, or the taking of any action in reliance on this information is s Keywords: continuous integration continuous deployment artificial intelligence machine learning access management information technology Florida Idaho North Carolina |
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| Sat Aug 05 01:44:00 UTC 2023 |