GCP AI/ML Engineer – Generative AI & Document AI (Onsite travel to Ohio Required)

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We are seeking a talented GCP AI/ML Engineer with expertise in Generative AI and Document AI to join our team. This hybrid position will require onsite travel to Ohio. The ideal candidate will have a strong background in machine learning principles and experience with Google Cloud Platform tools. You will be responsible for designing and implementing AI solutions that enhance our document processing capabilities. If you thrive in a fast-paced environment and are ready to make an impact, we want to hear from you! The ideal candidate will have deep knowledge of GCP’s AI and data services, and a proven ability to deliver high-impact machine learning solutions in a fast-paced, client-facing environment. Key Responsibilities: •Lead the development and deployment of machine learning models using GCP AI services (Vertex AI, Document AI, etc.) •Apply advanced prompt engineering techniques for entity extraction using Generative AI •Build and fine-tune custom classification and extraction models •Develop and execute data labeling strategies, both manual and automated •Architect solutions for document categorization and entity recognition •Guide stakeholders on best practices for ML lifecycle, model evaluation, and production-readiness •Translate complex AI outputs into actionable insights for business users •Collaborate with cross-functional teams to ensure successful project delivery Required Skills & Experience: •Strong hands-on experience with Google Cloud Platform, including: •Vertex AI (including Vertex AI Studio and pipelines) •Document AI (Custom Classifier and Custom Extractor) •BigQuery and other GCP data services •Demonstrated expertise in developing Generative AI solutions (LLM integration, prompt design, fine-tuning, etc.) •Proficiency in machine learning workflows: data preprocessing, training, validation, evaluation, deployment •Experience designing and implementing taxonomy frameworks for document classification •Ability to develop labeling strategies and manage training/test datasets effectively •Excellent communication and consulting skills, with the ability to interface with executive stakeholders •Strong problem-solving skills and a consultative, outcomes-driven mindset Preferred Qualifications: •Prior experience working on document-centric AI projects (invoices, forms, contracts, etc.) •Familiarity with data governance, quality assurance, and model accuracy benchmarks •Background in AI project scoping and feasibility planning

Keyword: Machine Learning

Price: $75.0

Machine Learning Artificial Intelligence TensorFlow Neural Network deeplearn.js