Senior AI/ML Engineer (GCP / Sentiment Analysis)

Have extensive experience with developing and maintaining ML Models in a GCP environment & open to a long term contract? Apply today! This Jobot Consulting Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume., We are seeking an experienced AI/ML Consultant with strong expertise in Google Cloud Platform (GCP) and Sentiment Analysis/NLP technologies to support a high-visibility initiative with one of the world's leading technology organizations. This consultant will work closely with engineering, analytics, and AI-focused stakeholders to enhance and optimize existing machine learning models focused on sentiment analysis, natural language processing, and large-scale data interpretation within a cloud-native GCP environment. The ideal candidate is highly hands-on, comfortable working in fast-paced consulting environments, and capable of quickly understanding and improving existing AI/ML workflows and models. Why join us? Contract / Consulting engagement Fully Remote Flexible part-time hours possible High-visibility AI initiative supporting a globally recognized technology organization If you enjoy solving complex AI/ML problems, improving real-world NLP systems, and working within cutting-edge GCP environments, we'd love to connect. Job Details Key Responsibilities Design, optimize, and maintain sentiment analysis and NLP models within GCP environments Improve model performance, accuracy, scalability, and reliability Work with existing codebases and AI pipelines to enhance current capabilities Analyze structured and unstructured datasets to identify trends, sentiment patterns, and actionable insights Collaborate cross-functionally with technical and non-technical stakeholders Validate model outputs and ensure accuracy across multiple datasets and use cases Support model training, testing, tuning, and deployment activities Contribute to AI/ML best practices, documentation, and process improvements Assist with troubleshooting and resolving model performance issues in production environments, Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Strong hands-on experience with Google Cloud Platform (GCP) Professional experience developing or supporting Sentiment Analysis and/or NLP models Experience with modern transformer-based models such as BERT, RoBERTa, or similar NLP architectures Strong Python development experience Experience training, evaluating, and deploying machine learning models Understanding of ML model evaluation metrics and performance optimization techniques Experience working with cloud-native AI/ML tooling and services within GCP Ability to work independently in a consulting or project-based environment Strong communication and stakeholder collaboration skills Preferred Qualifications Experience supporting enterprise-scale AI initiatives Familiarity with Vertex AI and related GCP AI/ML services Experience with MLOps concepts and CI/CD workflows for AI deployment Prior consulting experience supporting external clients or agency environments Experience working with large-scale datasets and real-time analytics pipelines