AI Model Operations Specialist
19 hours ago
LAWNET TECHNOLOGY SERVICES PTE. LTD., a subsidiary of the Singapore Academy of Law, is a leading provider of technology solutions for the legal industry. With a strong focus on innovation and customer satisfaction, we strive to deliver cutting-edge products and services that meet the evolving needs of our clients.
Our team is passionate about harnessing the power of artificial intelligence and machine learning to drive business success. We are committed to fostering a culture of excellence, collaboration, and continuous learning.
The RoleWe are seeking an experienced MLOps Engineer to join our team in Singapore. As an AI Model Operations Specialist, you will play a critical role in designing, implementing, and maintaining robust MLOps pipelines for large language models.
Your primary responsibility will be to ensure seamless transition from development to production, working closely with data scientists and AI researchers to automate and optimize model training, fine-tuning, inference, and evaluation processes.
You will also be responsible for exploring and implementing techniques for continuous learning of the LLM as new user data becomes available, developing strategies for monitoring model performance, and setting up alerts and dashboards to proactively identify and troubleshoot potential issues.
With your expertise in cloud computing platforms (AWS, GCP, Azure) and services related to machine learning and large-scale computing, containerization and orchestration technologies (Docker, Kubernetes), and programming languages (Python, TensorFlow, PyTorch), you will contribute significantly to the reliability, efficiency, and scalability of our AI services.
RequirementsTo be successful in this role, you must have:
- A 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).
- 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.
We offer a competitive salary range of SGD 120,000 - 180,000 per annum, depending on experience, plus benefits including medical insurance, retirement plan, and professional development opportunities.
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