| Looking for AIML Engineer || Charlotte, NC (Hybrid) || Contract at Charlotte, North Carolina, USA |
| Email: [email protected] |
| From: dhamodharan, smartitframe [email protected] Reply to: [email protected] Hi All , Greetings from Smart IT Frame, Hope you are doing well!!! Smart IT Frame specializes in enabling you with your most critical line of resources. Whether its for permanent staffing, contract staffing, contract-to-hire or executive search, we understand the importance of delivering the most suitable talent; on time and within budget. With our Core focus in emerging technologies, we have provided global technology workforce solutions in North America, Canada & India. We take pride in delivering specialized talent, superior performance, and seamless execution to meet the challenging business needs of customers worldwide. Job Title: AIML Engineer Location: Charlotte, NC (Hybrid) Contract 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. 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 Keywords: continuous integration continuous deployment information technology Florida North Carolina |
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| Thu Aug 10 18:53:00 UTC 2023 |