AI Platform Lead: HPC, MLOps & AI Tooling

Linköping University; Linköpings kommun; Hybrid; SEK 600,000 - 750,000; Full time

Benefits offered by this job

Remote work options up to 40%

Individual salary setting

Job summary

Linköping University is seeking a Team Lead for AI Technology & Tools to lead technical development and integrate AI platforms into various applications. The position requires a PhD or equivalent experience in AI/ML, extensive experience in large-scale AI training, and the ability to work in interdisciplinary environments.

The role includes collaboration with internal experts and external partners. Candidates should have solid experience with MLOps and be well-versed in distributed training frameworks and cloud-based infrastructures.

This position offers flexibility, and the workplace promotes diversity and equal opportunities.

Qualifications

• PhD or equivalent experience in AI or a related field is required.
• Documented experience in large-scale AI training is essential.
• Experience with MLOps and production-oriented AI workflows in research or industry.

Responsibilities

• Lead technical development within the team for AI integration.
• Drive best practices for AI model training and optimization.
• Support organizations in building end-to-end AI pipelines.

Skills

AI/ML expertise

Experience with MLOps

Knowledge of HPC environments

Distributed training frameworks

Containerized environments

Education

PhD or equivalent experience in AI/ML

Tools

GPU-accelerated environments

Cloud-based infrastructure

EuroHPC

Job description

Linköping University is seeking a Team Lead for AI Technology & Tools to lead technical development and integrate AI platforms into various applications. The position requires a PhD or equivalent experience in AI/ML, extensive experience in large-scale AI training, and the ability to work in interdisciplinary environments.

The role includes collaboration with internal experts and external partners. Candidates should have solid experience with MLOps and be well-versed in distributed training frameworks and cloud-based infrastructures.

This position offers flexibility, and the workplace promotes diversity and equal opportunities.