| MLOps Engineer with Python Experience- Austin, TX (Onsite from Day 1- Need Locals OR Nearby States)- Interviews are scheduling at Austin, Texas, USA |
| Email: [email protected] |
| From: Ravi Prakash, Adbakx [email protected] Reply to: [email protected] Hello Professionals, Hope you are doing well. Job Title: MLOps Engineer with Python Experience Location: Austin, TX (Onsite from Day 1- Need Locals OR Nearby States) Duration: 12 Months Contract Experience Required: 12+ Years 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. Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Experience: Proven experience as an MLOps Engineer or in a similar role. Hands-on experience with ML model deployment and lifecycle management. Proficiency in programming languages such as Python, Java. Experience with ML frameworks such as TensorFlow, PyTorch. Familiarity with containerization and orchestration tools (Docker, Kubernetes). Experience with cloud platforms (AWS, GCP, Azure). Experience with large language models (LLMs) and their performance optimization. P. Ravi Prakash Adbakx LLC Sr. Technical Recruiter Email: [email protected] Certified Minority Business Enterprise (MBE) E-Verify Employer | Keywords: continuous integration continuous deployment machine learning information technology Texas MLOps Engineer with Python Experience- Austin, TX (Onsite from Day 1- Need Locals OR Nearby States)- Interviews are scheduling [email protected] |
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| Mon Aug 05 20:04:00 UTC 2024 |