Senior AI Workbench Engineering

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🕒 April 30

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Castillians

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2006

Castillians is a company whose publicly available text is inaccessible without JavaScript; the provided content only shows a message asking the user to enable JavaScript. No information about the company's product, services, industry, or target customers can be determined from this text alone.

📋 Description

• 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

• 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

• Clear scope with no ambiguity over deliverables. • Opportunity for repeat engagements based on performance.