| Azure ML & LLM Ops Specialist at Remote, Remote, USA |
| Email: [email protected] |
| Hello, Greetings of the day, My name is Shikha Singh, and I am a Staffing Specialist at Convextech. I am reaching out to you on an exciting job opportunity with one of our clients. Role: Azure ML & LLM Ops Specialist Dallas, TX (Remote) Type: Contract Requirements We are seeking a highly skilled and experienced Azure ML & LLM Ops Specialist to join our team. As an Azure ML & LLM Ops Specialist, you will play a critical role in managing the end-to-end development processes of machine learning (ML), deep learning (DL), and large language models (LLM). Your responsibilities will include data engineering, model training, model serving, experiment tracking, infrastructure management, and implementing CI/CD pipelines using Git actions. Key Responsibilities: ML, DL, and LLM Model Development Processes: Manage the complete lifecycle of ML, DL, and LLM models from data preparation and feature engineering to model training and evaluation. Implement best practices for experiment tracking, version control, and reproducibility of ML/DL/LLM workflows. Collaborate with data scientists and engineers to optimize model performance and accuracy. Infrastructure Management and Optimization: Manage administration and setup procedures for Azure ML and LLM infrastructure. Configure and provision GPU compute resources using Terraform or similar infrastructure as code modules. Optimize infrastructure resources for cost-effectiveness and scalability. CI/CD Pipeline Implementation: Design and implement CI/CD pipelines for automated model deployment and testing. Utilize Git actions for version control, code review, and continuous integration. Monitoring and Maintenance: Monitor model performance and health in production environments. Implement monitoring solutions for infrastructure resources, including GPU compute and storage. Conduct regular maintenance and updates to ensure system reliability and security. Documentation and Knowledge Sharing: Create and maintain documentation for ML/DL/LLM processes, infrastructure configurations, and CI/CD pipelines. Share knowledge and best practices with the team and stakeholders. Qualifications: Master's degree in Computer Science, Data Science, or a related field from a reputable US institution. 10+ years of experience in managing ML, DL, and LLM model development processes. Strong background in data engineering, feature engineering, and model training. Experience with Azure ML and LLM technologies, including infrastructure setup and administration. Proficiency in using Terraform or similar infrastructure as code tools for managing cloud resources. Hands-on experience with CI/CD pipelines, Git actions, and version control systems. Familiarity with GPU compute management and optimization for ML/DL workloads. Excellent problem-solving skills, communication skills, and the ability to work collaboratively in a team environment. Benefits: Competitive salary and benefits package. Opportunity to work with cutting-edge ML, DL, and LLM technologies in a dynamic environment. Professional development and growth opportunities. Collaborative and supportive team culture focused on innovation and excellence. If you possess the qualifications and experience to excel in managing Azure ML and LLM operations while driving efficiency and scalability in ML/DL workflows, we encourage you to apply for this exciting opportunity. Thanks & Regards Shikha Singh Sr Technical Recruiter Email: - [email protected] https://convextech.com/ -- Keywords: continuous integration continuous deployment machine learning access management information technology Texas Azure ML & LLM Ops Specialist [email protected] |
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| Tue Jul 09 19:32:00 UTC 2024 |