Large Language Model Operations Specialist

2 days ago


Singapore LAWNET TECHNOLOGY SERVICES PTE. LTD. Full time

LAWNET TECHNOLOGY SERVICES PTE. LTD.

We are seeking a highly skilled Large Language Model Operations Specialist to join our team. As an MLOps Engineer, you will play a critical role in operationalizing and scaling our AI capabilities.

The ideal candidate will have a unique blend of skills in machine learning, software engineering, and cloud technologies to efficiently deploy, monitor, and manage large language models in production.

Key Responsibilities:
  • Design and implement robust MLOps pipelines tailored for large language models, ensuring seamless transition from development to production.
  • Work closely with data scientists and AI researchers to automate and optimize the model training, fine-tuning, inference, and evaluation processes for our large language models on cloud infrastructure.
  • Ensure the LLM can be seamlessly integrated with the serving infrastructure managed by the software engineering team.
  • Explore and implement techniques for continuous learning of the LLM as new user data becomes available.
  • Develop and implement strategies for monitoring model performance (accuracy, latency, fairness) in production.
  • Set up alerts and dashboards to proactively identify and troubleshoot potential issues with the LLM.

You will also be responsible for staying up-to-date on the latest advancements in MLOps tools and methodologies, implementing monitoring and logging systems to track model performance, resource utilization, and operational health, and ensuring compliance with data privacy and security protocols throughout the model lifecycle.

Requirements:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
  • Solid experience in MLOps, DevOps, or software engineering, with a specific focus on machine learning and large language models.
  • Strong experience in building and managing machine learning pipelines.
  • Proficiency in cloud computing platforms (AWS, GCP, Azure) and services related to machine learning and large-scale computing.
  • Strong background in containerization and orchestration technologies (Docker, Kubernetes), as well as infrastructure as code (Terraform, CloudFormation).
  • Demonstrated ability in programming with Python and experience with ML frameworks (TensorFlow, PyTorch, Hugging Face).
  • Understanding of best practices for data security, privacy, and compliance in the context of AI and machine learning.

The estimated salary for this role is $120,000 - $180,000 per annum, depending on experience and qualifications. We offer a competitive benefits package and opportunities for professional growth and development.



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