We are seeking a motivated Model Integration Trainee to support the development and integration of AI/ML models, data pipelines, and workflow automation systems. This role is ideal for someone looking to begin their career in AI integration, RAG workflows, API connectivity, and enterprise system automation.
You will work under senior developers and architects to learn how AI-driven systems connect with platforms like ServiceNow, vector databases, and Databricks environments.
Key Responsibilities AI & Model Workflow SupportAssist in building basic AI workflow components under guidance (e.g., data parsing, classification, routing logic).
Support senior engineers in implementing Retrieval-Augmented Generation (RAG) pipelines using vector search, embeddings, and retrieval mechanisms.
Help test and validate model output, classifications, and logic flows.
Learn how to connect AI models to enterprise platforms using APIs, such as ServiceNow REST APIs.
Support simple tasks like testing API requests, checking logs, and validating ticket creation/responses.
Document integration steps and help maintain workflow diagrams.
Assist in managing datasets, Delta tables, and workspace organization within Databricks.
Support model deployment tasks by preparing files, environments, or test inputs.
Help monitor pipeline performance and maintain basic data quality checks.
Maintain documentation for workflows, integration steps, and test cases.
Participate in meetings with the project lead and developers, taking notes and helping track tasks.
Follow coding standards and contribute to organized, maintainable project files.
Interest in AI model integration, data workflows, and enterprise automation.
Basic Python knowledge (or willingness to learn quickly).
Curiosity about APIs, NLP, vector databases, and LLM technologies.
Strong analytical and problem-solving attitude.
Good communication and eagerness to work with senior engineers.
Exposure to NLP or LLM concepts
Basic understanding of REST APIs
Familiarity with Databricks, cloud platforms, or vector databases
Understanding of RAG concepts or embeddings
Experience with Python libraries (NumPy, Pandas, LangChain etc.)
How real-world RAG systems are built and integrated
How AI agents communicate with tools like ServiceNow
Basics of model deployment, GPU-based training, and ML lifecycle
Data flow and pipeline management in Databricks
SLA logic, ticket automation, and request routing
Industry-best practices in security and enterprise AI integration
...are currently seeking an experienced, detail-oriented Mobile Phlebotomist to join our amazing team! We are passionate about what we do... ...and safety standards while working in the facility and/ortraveling Followsinstructionsand otherduties as directed bysupervisor...
Corporate Transactional Attorney A well-established law firm, recognized for its excellence in corporate law, is ready to expand their team. Our client offers the opportunity to work on high-impact deals with top companies. With a top-tier compensation and benefits package...
...Job description We are looking for a security supervisor level position. The ideal candidate is interested in working as part of a team, is assertive, and open to constructive feedback. The security supervisor is designated to work in various locations. You will be part...
Data entry and record keeping Handling internal documentation and reports Managing files, scanning, and documentation work Coordinating with other departments as needed Supporting day-to-day administrative operations Responding to emails and managing information...
...Come Work for a Wonderful Non-Profit Company in Central Pennsylvania! We are looking for an experienced full-time Volunteer Projects Coordinator to work with Central Pennsylvania Food Bank (CPFB) volunteers on projects, assign work, move and position supplies to...