We are seeking a motivated Model Integration Trainee to support the development, integration, and testing of AI/ML models, data workflows, and enterprise automation pipelines. This role is ideal for freshers or early-career professionals interested in AI integration, RAG workflows, APIs, and data engineering .
You will work closely with senior engineers and architects to learn how AI-driven systems integrate with platforms like ServiceNow, Databricks, and vector databases .
Assist in building basic components of AI workflows such as data parsing, classification, and routing logic .
Support retrieval-based systems including vector search, embeddings, and RAG pipelines .
Perform model testing, output validation, and logic flow verification.
Learn and contribute to integrating AI models with enterprise systems using REST APIs .
Support tasks such as sending API test calls, validating system responses, and checking logs.
Document integration steps and assist in maintaining workflow diagrams.
Assist in managing datasets, Delta tables, and workspace organization inside Databricks .
Support model deployment tasks by preparing environments, files, and test inputs.
Monitor pipeline performance and conduct basic data quality checks.
Create and maintain documentation for workflows, test cases, and integration activities.
Participate in team meetings, take notes, and help with task tracking.
Follow coding and documentation standards for clean, maintainable work.
Strong interest in AI model integration, automation, and data workflows .
Basic knowledge of Python or willingness to learn quickly.
Curiosity about APIs, NLP, vector databases, and LLM-based systems.
Strong analytical skills and a problem-solving mindset.
Good communication skills and eagerness to learn from senior engineers.
Understanding of NLP or LLM fundamentals.
Basic familiarity with REST APIs.
Exposure to Databricks, cloud platforms, or vector databases.
Awareness of RAG concepts and embeddings.
Experience with Python libraries like NumPy, Pandas, or LangChain.
Building and integrating real-world RAG and AI systems .
How AI agents interact with enterprise tools (e.g., ServiceNow).
Basics of model deployment and ML lifecycle management.
Data engineering fundamentals in Databricks .
Ticket automations, SLA logic, and enterprise workflow routing.
Security best practices for enterprise AI systems.
...Job Description Job Description Salted Chef, LLC is looking to hire a Personal Chef that provides personal meal preparation in clients' homes. We are looking for someone who can prepare a wide variety of meals for clients. Ideal candidates need to have the following...
...Remote Work From Home Data Entry Clerk for Entry Level Position Work at home position for job seekers from virtually any work background who are interested in part-time, side... ...customer service representative, administrative assistant, health care workers, human resources,...
...Description We are a specialized Global staffing firm that works for Fortune 500 companies in the Medical Device, Pharmaceutical, and Biotec industries, finding qualified personnel. Company Description We are a specialized Global staffing firm that works for Fortune...
...American Royal is a not-for-profit organization with one simple purpose: to champion food and agriculture. The organization coordinates events and programs, including nationally competitive livestock shows, the worlds largest barbecue competition, regional and national...
Have a car? Earn a $1,000 BONUS + $10,000 GUARANTEE* when you sign up to help transport others to healthcare appointments in your own vehicle around North Central and Northwest Wisconsin! At Veyo, we help people get to and from their non-emergency medical appointments...