Senior AI Workbench Engineering

Job Description This is a remote position. Location: Remote Engagement Type: Project-based Assignment; B2B Contract (Outside IR35) Duration: 6 months with auto-renew Timezone: CET ± 3 hours Be part of our Global Engineering Network! ​ Our client is seeking an AI Bench Engineer (AI Workbench Specialist) to design, build, and manage AI experimentation benches that enable fast, reproducible, and scalable AI development. The consultant will play a key role in providing ready-to-use AI environments for data scientists and ML engineers, supporting rapid experimentation across PyTorch, NVIDIA NeMo, and big data platforms. This role focuses on the AI Bench layer bridging research, experimentation, and enterprise AI platforms by delivering standardized environments, GPU-accelerated compute, and seamless access to data and model tooling. Key Deliverables • 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 Ideal Profile • 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) Why Partner with Us? · Clear scope with no ambiguity over deliverables. · Opportunity for repeat engagements based on performance. Selection Process Proposal Submission o Submit your professional profile/CV by applying for the role. Business Alignment Call o 30-minute virtual discussion with a Human Capital Consultant to review scope and expectations. Verification o Opportunity to complete Castille Vetting (background and compliance checks). Client Skills Review o Direct interview with the end client to discuss project specifics. o Project-specific technical assessment (if required). Ongoing Business Support · Access to CX guidance and market insights through our professional network. Benefits ​