| Immediate Interview for AI/ML Engineer with Performance Engineering background - Nashville, TN - Contract at Nashville, Tennessee, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2230556&uid= Only 8+ Profiles and Local NO AND CPT Hi This is Balaji from E IT We are looking AI/ML Engineer with Performance Engineering background If you are interested, please share with me your Updated Resume Job Title: AI/ML Engineer with Performance Engineering background Type : Contract (C2C ) Location: Nashville, TN JOB DESCRIPTION Key Responsibilities: Generative AI Model Development: Design and implement advanced generative AI models using deep learning frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. Train and fine-tune models on large datasets to achieve imal performance on specific tasks like text generation, image creation, or audio synthesis. Evaluate model performance using relevant metrics and identify areas for improvement Performance imization: Analyze model performance bottlenecks and identify areas for imization. Implement techniques like model quantization, tensorRT, and efficient data loading to improve model inference speed. Design and imize serving infrastructure for high-throughput, low-latency model deployment. Good to have Loadrunner experience Good to have experience in monitoring tools like Dynatrace Scalability and Deployment: Develop scalable architectures to handle large volumes of data and requests. Deploy models to production environments utilizing cloud platforms like AWS, Azure, or P. Monitor model performance in real-time and implement necessary adjustments to maintain imal performance. Required Skills and Experience: Technical Skills: Strong proficiency in Python programming language and deep learning libraries like TensorFlow, PyTorch Experience with large language models (LLMs) and generative adversarial networks (GANs) Knowledge of performance profiling tools and techniques for identifying and resolving performance bottlenecks Familiarity with cloud computing platforms and containerization technologies (Docker, Kubernetes) Performance Engineering Skills: Understanding of performance metrics like latency, throughput, and resource utilization Experience with load testing tools to assess system performance under stress conditions Ability to imize code for efficiency and scalability Other Skills: Excellent problem-solving and analytical skills Strong communication and collaboration skills to work effectively with cross-functional teams Ability to stay current with the rapidly evolving field of generative AI Balaji S IT Recruiter [email protected] Direct Number+1(734) 373-0817 -- Keywords: artificial intelligence machine learning information technology card trade national Tennessee Immediate Interview for AI/ML Engineer with Performance Engineering background - Nashville, TN - Contract [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2230556&uid= |
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| 12:04 AM 06-Mar-25 |