| AI ML Engineer at CHARLOTTE NC ( Day One Onsite Hybrid ) at Charlotte, North Carolina, USA |
| Email: [email protected] |
| From: Isaac, Centraprise [email protected] Reply to: [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: 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. 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 Keywords: continuous integration continuous deployment artificial intelligence machine learning access management Florida Idaho North Carolina |
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| Tue Sep 12 03:49:00 UTC 2023 |