| Onsite ML OPS Engineer $60/hr on C2C max at Max, North Dakota, USA |
| Email: [email protected] |
| Role: ML OPS Engineer Location: Astin, TX Duration: Long Term Job Overview: 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. Qualifications: Education: o Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Experience: o Proven experience as an MLOps Engineer or in a similar role. o Hands-on experience with ML model deployment and lifecycle management. o Proficiency in programming languages such as Python, Java. o Experience with ML frameworks such as TensorFlow, PyTorch. o Familiarity with containerization and orchestration tools (Docker, Kubernetes). o Experience with cloud platforms (AWS, GCP, Azure). o Experience with large language models (LLMs) and their performance optimization. -- Email is the best way to reach me Thanks Vijay Kumar CA-One Tech Cloud Inc. Working hours : 9AM to 5PM PST Email: [email protected] Please join the group for daily c2c fast moving requirements https://www.linkedin.com/groups/14072116/ -- Keywords: continuous integration continuous deployment machine learning information technology California Texas Onsite ML OPS Engineer $60/hr on C2C max [email protected] |
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| Thu Jul 18 00:07:00 UTC 2024 |