Senior AI Infrastructure Developer
5 days ago
ADECCO PERSONNEL PTE LTD is a leading provider of recruitment and workforce solutions. We are committed to helping our clients achieve their business goals by providing them with the best talent in the industry.
About the RoleWe are currently seeking a Senior AI Infrastructure Developer to join our team. As a key member of our Machine Learning Platform team, you will be responsible for designing and implementing scalable AI infrastructure, developing observability solutions, and fostering the adoption of distributed computing frameworks within the organization.
Job DescriptionAs a Senior AI Infrastructure Developer, your primary responsibilities will include:
- Distributed Computing Framework Adoption
- Collaborate with data science teams to leverage distributed computing frameworks such as Ray for scalable workloads.
- Advocate for best practices and provide technical support for cluster utilization.
- Monitoring and Alerting Systems
- Develop and integrate observability solutions using tools like Datadog, Prometheus, and Grafana.
- Create runbooks and DevOps guides to streamline operations.
- AI Infrastructure Solutions
- Design and implement scalable infrastructure for distributed data processing and model training.
- Utilize GitOps practices to maintain reproducibility across Kubernetes clusters.
To be successful in this role, you will need to have:
- Strong Expertise in ML-Ops
- Experience in distributed computing frameworks (e.g., Ray, Dask, Modin, Beam, or Horovod).
- Proficient Programming Skills
- Proficient in Python and familiar with machine learning tools and ecosystems.
- Hands-on Experience with Cloud Platforms
- Hands-on experience with Kubernetes, including GitOps tools (e.g., ArgoCD) and configuration management solutions like Helm and Kustomize.
- DevOps Background
- Solid DevOps background, with knowledge of Infrastructure as Code (e.g., Terraform).
- Excellent Communication Skills
- Excellent written and verbal communication skills to support cross-functional collaboration.
This role offers the opportunity to work on innovative projects, drive machine learning infrastructure advancements, and contribute to the organization's data science capabilities. The estimated salary for this position is $120,000 - $180,000 per year, depending on qualifications and experience.
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