MACHINE LEARNING ENGINEER

Role: Machine Learning Engineer Location: Philadelphia, PA OR Washington, D.C.(34 days/week onsite) Duration:6+ months Job description: Seeking a Machine Learning Engineer to design, build, and validate ML models supporting internal engineering tools. The role focuses on improving AI/ML-driven automation, including LLM-based workflows, with a strong emphasis on quality and performance. Responsibilities: Develop and enhance ML/AI models for automation and validation Implement and optimize promp

DIRECT IN-PERSON INTERVIEW REQUIRED! Machine Learning Engineer Philadelphia, PA OR Washington, DC (100% Onsite) 9 + Months Role: Design and validate ML models that support engineering tooling teams. Enhance existing AIML automation tools (e.g., Speech data), implement LLM prompt interactions, and use LLMs to test LLMs - with a strong focus on product quality. Key Responsibilities: Build & enhance ML/AI models for validation and automation Implement prompt-based LLM interactions Collabo

Excellent Part-time consulting opportunity with the possibility of FTE // Professional Experience validating accuracy and training the models required! This Jobot Consulting Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $40 - $65 per hour A bit about us: We are partnering with a global digital transformation team supporting next-generation AI initiatives for a major enterprise technology program. This rol

Role: Azure GenAI Architect Location: Mount Laurel, NJ Experience: 15+ Years Technical Skills Expertise in ELK Stack: Proficient in Elasticsearch, Logstash, and Kibana. Visualization Experience: Strong experience with Kibana visualization tools (Lens, Maps, Graph). Data Modeling and Knowledge of JSON and REST APIs: Familiarity with JSON data format and RESTful API principles is crucial for interacting with Elasticsearch. Querying: Proficiency in Kibana Query Language (KQL) and Elasticsearc