Job Title: HPC Expert ClearML & Confidential Computing

Key Responsibilities

- Administer ClearML Server, ClearML Agents, execution queues, projects,

users, roles, experiment tracking, pipelines, datasets, artifacts, and model registry.
- Configure ClearML Agents on CPU and GPU worker nodes and integrate them with Slurm, PBS Qualified, Kubernetes, or equivalent HPC execution platforms.
- Support GPU-based AI/ML workloads using NVIDIA drivers, CUDA, NCCL,

UCX, and containerized environments.
- Maintain secure container execution using Apptainer/Singularity, Docker,

Enroot, Pyxis, or Kubernetes.
- Implement confidential-computing controls using technologies such as AMD

SEV-SNP, Intel TDX, NVIDIA Confidential Computing, Secure Boot, TPM, and remote attestation where supported.
- Integrate authentication, RBAC, TLS certificates, secrets management, and audit controls for ClearML and confidential workloads.
- Monitor ClearML services, agents, queues, GPU utilization, task failures,

scheduler integration, and platform health.




- Automate deployment, configuration, monitoring, and troubleshooting using

Python, Bash, Ansible, and Git.

Essential Skills

- Strong Linux administration: RHEL, SLES, Rocky Linux, or Ubuntu.
- Hands-on ClearML administration or strong experience with a comparable

MLOps platform.
- Experience with HPC schedulers: Slurm, PBS Professional, or LSF.
- GPU platform knowledge: NVIDIA drivers, CUDA, GPU monitoring, distributed training basics.
- Containers: Apptainer/Singularity, Docker, Enroot, Pyxis, or Kubernetes.
- Scripting and automation: Python, Bash, Ansible, Git.
- Security fundamentals: RBAC, IAM, TLS, certificates, secrets management,

secure boot, and audit logging.
- Understanding of confidential-computing concepts: TEE, encrypted memory,

TPM, remote attestation, AMD SEV-SNP, Intel TDX, or equivalent technologies.

📌 HPC Expert ClearML amp Confidential Computing (Bengaluru)
🏢 Talworx Solutions
📍 Bengaluru