| ML Ops Engineer | Austin, TX (Onsite from Day 1) | Contract at Austin, Texas, USA |
| Email: [email protected] |
| ML Ops Engineer Austin, TX (Onsite from Day 1) 12+ months contract Exp- 5 (Min) - 15 (Max) Job Description: We are seeking a skilled and motivated MLOps Engineer to join our dynamic team. The ideal candidate will be responsible for developing, implementing, and maintaining machine learning pipelines and infrastructure, ensuring the efficient and reliable deployment of ML models into production environments. You will collaborate closely with data scientists, software engineers, and IT professionals to optimize and automate the machine learning lifecycle. Key Responsibilities: Design, implement, and manage scalable ML model deployment pipelines. Automate the deployment process using CI/CD tools. Monitor, troubleshoot, and maintain deployed models in production. Develop and maintain infrastructure for data ingestion, processing, and storage. Optimize compute resources for cost and performance efficiency. Ensure high availability and scalability of ML infrastructure. Provide support for model retraining and updates. Implement monitoring and logging solutions for model performance and data quality. Optimize the performance of large language models (LLMs) in production environments. Implement techniques for efficient inference and fine-tuning of LLMs. Monitor and improve the scalability and latency of LLM deployments. Nitin Mishra | Tekgence Inc Direct: 469-929-9818, Ext- 235 [email protected] LinkedIn: https://www.linkedin.com/in/nitin-mishra-375a15204/ 6655 Deseo Dr, Suite 104,Irving, TX , 75039 www.tekgence.com -- Keywords: continuous integration continuous deployment machine learning information technology Texas ML Ops Engineer | Austin, TX (Onsite from Day 1) | Contract [email protected] |
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| Wed Jul 24 20:44:00 UTC 2024 |