Connecting, engaging, and inspiring women (and men) all around the world to pursue their aviation/aerospace dreams.
Analyst, AI Engineer
Location
India
Posted
3 days ago
Salary
0
Seniority
Mid Level
Job Description
Analyst, AI Engineer
Women in Aviation International
• Build and support AI-ready access to WAI catalog, customer, order, product, sales-channel, and related business data as directed by AI platform leadership. • Assist with Infor integration and other trusted data connections so AI outputs are grounded in approved business data sources. • Implement semantic, keyword, and structured search across catalog, OE number, fitment, cross-reference, technical specification, and product data. • Parse and structure PDFs, Excel files, fitment guides, manufacturer specifications, RMA forms, customer questions, chatbot conversations, and other technical or business documents. • Build and support retrieval-augmented generation (RAG), embeddings, vector search, document ingestion pipelines, prompt workflows, and AI assistant capabilities for internal users and distributor support. • Capture and organize real user questions, failed searches, corrections, successful answers, and feedback to support evaluation data, retrieval improvement, and future model tuning. • Assist with evaluating, deploying, and testing approved hosted or open-source models such as Llama, Mistral, Qwen, or similar models under technical direction. • Support AI workflows related to Amazon Business trends, listing performance, returns, customer demand, and other approved business intelligence use cases as assigned. • Document technical logic, data mappings, prompts, retrieval sources, test cases, known issues, and support procedures. • Test AI outputs for source grounding, accuracy, consistency, reliability, and alignment with acceptance criteria. • Monitor assigned workflows, troubleshoot defects, analyze failures, and recommend improvements to retrieval quality, data quality, model behavior, and workflow performance. • Collaborate with offshore and onsite team members, IT, data owners, and business-facing AI resources to deliver approved work within WAI standards. • Undertakes additional responsibilities and tasks as directed by management.
Job Requirements
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Artificial Intelligence, or a related technical field preferred; equivalent experience may be considered based on local market practice.
- 2+ years of experience in software development, data engineering, AI/ML, automation, analytics engineering, business systems, workflow tools, or related technical work.
- Hands-on experience with Python, SQL, APIs, data pipelines, scripts, automation, or data workflows.
- Hands-on exposure to or experience with large language models, prompts, RAG, embeddings, vector search, chatbots, AI agents, or document processing required; deeper or production-level experience across these areas strongly preferred.
- Experience working with ERP, catalog, product, customer, order, inventory, or technical-document data preferred.
- Experience supporting offshore delivery, remote collaboration, documentation, testing, or production support preferred.
- Experience with automotive aftermarket, manufacturing, distribution, product data, fitment data, or similar technical domains is a plus.
Benefits
- Limited travel expected, estimated at 0-10% based on business needs, project rollout requirements, training, workshops, or meetings.
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