Real-world ML, built and deployed by ServiceBüro talent

This vetted, hands-on ML Engineer works across audio classification, computer vision, and Gen AI.

ML engineers who can carry a model the whole way from raw data through training to a deployed, testable application are difficult to source. Through ServiceBüro, you get one who has already shipped them across audio classification, computer vision, and multimodal generative AI, every project live and independently testable.

Ideal environments

ServiceBüro talent has delivered real, deployed machine learning, not proofs-of-concept, across food safety, agriculture, healthcare, and industrial monitoring. This engineer covers the full ML lifecycle, from data preparation and model training through cloud deployment, and ships models that can be tested in production.

Core capabilities

Audio ML pipelines convert raw audio to spectrograms and train autoencoders for anomaly detection, surfacing faults without needing labelled failure data. Computer vision and image classification models achieve production-grade accuracy on real datasets. Multimodal RAG prototyping with CLIP grounds generative output in actual source material. End-to-end deployment spans GCP, AWS, and Hugging Face Spaces, so models run where needed rather than staying in a notebook.

Production track record

Across recent engagements, this engineer has shipped a Boat Engine Health Scanner that detects engine faults through spectrogram analysis and is live, deployed, and publicly testable online. A Rice Disease Detector classifies plant diseases from real agricultural datasets and is deployed to GCP. A Meat Freshness Classifier applies image-based detection to a practical food-safety use case, trained on Kaggle data. A Migraine Prediction Model demonstrates applied healthcare ML, deployed on Hugging Face Spaces. A self-directed Multimodal RAG System built with CLIP shows initiative beyond the assigned scope. Image classifiers reach 95 to 98% accuracy on production datasets.

The ServiceBüro advantage

Full-lifecycle ML delivery, data preparation through deployment, backed by live, independently testable projects, is what most teams struggle to source locally. Matched to a specific requirement, this calibre is delivered through ServiceBüro’s global workforce model at up to 70% less than an equivalent local Singapore hire.

Every ServiceBüro placement clears a multi-stage screening process that fewer than 1 in 100 applicants pass, assessed on technical depth, communication, and real-world delivery, not paper credentials. Engagements run project-based or permanent, with ServiceBüro acting as Employer of Record to handle payroll, contracts, and compliance, and roles filled in as little as 14 days.

Looking for this calibre of AI talent? Book a call to discuss a specific role at serviceburo.net.