AI/ML Engineer for Large Language Model Development
21 hours ago
We are seeking a highly skilled AI/ML Engineer to join our team at Optimum Solutions (Singapore) Pte Ltd. As a key member of our ML Platform team, you will contribute to the development and optimization of our large language models.
About the Role
This is a 12-month contract position with multiple headcounts available for LLM Engineers specializing in image generation, LLMs, and Ray. The successful candidate will work closely with our data science community to develop and deliver high-quality AI infrastructure solutions.
Main Responsibilities:
- Design and implement robust and scalable pipelines for evaluating the performance of large language models using distributed computing frameworks like Ray.
- Develop and integrate a comprehensive suite of metrics and benchmarks to assess LLM performance across various tasks and domains.
- Analyze and interpret evaluation results to identify strengths, weaknesses, and areas for improvement in our LLM models, and communicate findings clearly to stakeholders.
- Deliver high-quality AI infrastructure solutions, including designing and developing the infrastructure to support Ray for distributed data processing and model training.
- Develop observability solutions for Ray, including monitoring and alerting within the monitoring stack powered by Datadog, Prometheus, and Grafana.
- Support the data science community by working with the product team to socialize Ray's use and support users in running their jobs on the Ray clusters.
- Set up a configurable and scalable image generation platform with the functionality of tools like ComfyUI, but scalable to allow for parallel generation and fine-tuning of new models.
Requirements:
- Expertise in LLM evaluation methodologies, metrics, and benchmarks, with experience in evaluating LLMs for various tasks such as text generation, question answering, and summarization.
- Proficiency in distributed computing frameworks like Ray or similar technologies for scaling LLM evaluation.
- Solid programming skills in Python and experience with machine learning libraries and tools.
- Knowledge of Kubernetes and cloud infrastructure, with experience in deploying and managing applications on Kubernetes and familiarity with AWS.
- In-depth knowledge of ML-OPS, including solid understanding of distributed computing for data processing, and knowledge of Ray or other frameworks such as Dask, Modin, Beam, Horovod, and Deepspeed.
- Good DevOps background, with experience in Infrastructure as Code (IaC) such as code with Terraform, and previous experience with GitOps solutions like ArgoCD.
What We Offer:
- $120,000 - $150,000 per annum, depending on experience.
- A dynamic and collaborative work environment.
- The opportunity to work with cutting-edge technology and make a meaningful contribution to the field of AI and machine learning.
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