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Senior AI Bench Engineering
CastilliansAI Bench Engineer designing and managing AI experimentation benches for rapid AI development. Requires expertise in PyTorch and big data platforms with a strong focus on CUDA environments.
Tech Stack
Tools & technologiesDockerHadoopKubernetesLinuxPythonPyTorchSparkTensorflow
About the role
Key responsibilities & impact- Design and implement AI Bench (AI Workbench) environments for experimentation and prototyping
- Build standardized, reproducible AI development environments (notebooks, containers, IDEs)
- Enable rapid prototyping using AI frameworks such as PyTorch, TensorFlow, and NVIDIA NeMo
- Integrate AI benches with enterprise data platforms (Cloudera, Spark, Hadoop)
- Configure and optimize GPU-enabled environments for training and experimentation
- Support distributed AI workloads for research and early-stage model development
- Provide self-service AI benches for data scientists and ML engineers
- Implement environment versioning, dependency management, and reproducibility standards
- Monitor bench usage, performance, and resource utilization
- Ensure security, access control, and isolation across AI benches
- Collaborate with AI Platform, Data, and MLOps teams to align bench capabilities.
Requirements
What you’ll need- 5+ years of experience in AI Workbench, ML Infrastructure, or Platform Engineering roles
- Strong hands-on experience with PyTorch-based experimentation environments
- Experience supporting AI research and data science teams
- Working knowledge of big data platforms (Cloudera, Spark, Hadoop)
- Experience with GPU-accelerated environments (NVIDIA CUDA, multi-GPU setups)
- Solid experience with Docker, Kubernetes, and Linux
- Proficiency in Python for scripting, automation, and AI workflows
- Familiarity with notebook and IDE tooling (Jupyter, VS Code, remote development)
- Exposure to distributed training frameworks is a plus
- Understanding of MLOps concepts is advantageous
- Strong problem-solving and user-centric mindset
- Excellent communication and collaboration skills
- Fluent in English (written and verbal).
Benefits
Comp & perks- Access to CX guidance and market insights through our professional network.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI WorkbenchML InfrastructurePyTorchTensorFlowNVIDIA NeMoGPU-accelerated environmentsDockerKubernetesPythonMLOps
Soft Skills
problem-solvinguser-centric mindsetcommunicationcollaboration