
Aerospace • SaaS • B2B
flydocs is a company that provides a cloud-based platform and services to manage aircraft technical records, maintenance data, and lifecycle asset management for airlines, lessors, MROs and other aviation stakeholders. It offers digital records management, digital engineering services, asset trading and transition management, and professional services to streamline compliance, lease returns, and aircraft maintenance workflows. flydocs positions itself as a B2B SaaS provider helping aviation customers digitize, search, share and derive value from their maintenance data.
October 13

Aerospace • SaaS • B2B
flydocs is a company that provides a cloud-based platform and services to manage aircraft technical records, maintenance data, and lifecycle asset management for airlines, lessors, MROs and other aviation stakeholders. It offers digital records management, digital engineering services, asset trading and transition management, and professional services to streamline compliance, lease returns, and aircraft maintenance workflows. flydocs positions itself as a B2B SaaS provider helping aviation customers digitize, search, share and derive value from their maintenance data.
• Document AI & NLP Solutions • RAG-based Question Answering Systems • Forecasting Systems • Structured Data Extraction • End-to-End AI/ML Engineering • Innovation & Problem-Solving
• 5+ years of experience in AI/ML engineering, with at least 2 years focused on LLM/NLP-based projects. • Strong programming skills in Python with proficiency in Pandas, NumPy, PyTorch /TensorFlow, and Scikit-learn. • Hands-on experience with LLMs, Retrieval-Augmented Generation (RAG), and prompt engineering (Azure OpenAI , LangChain , or similar frameworks). • Proficiency in traditional ML models and NLP techniques for classification, clustering, and information extraction. • Experience with OCR technologies. • Strong experience in FastAPI development and deployment best practices. • Experience working with Cloud Infrastructure like Microsoft Azure or Google Cloud Platform (GCP).
• Opportunity to work on cutting-edge AI and GenAI projects with a global footprint. • A collaborative, innovative, and growth-driven work environment. • Competitive compensation package based on skills and experience. • Flexible working model (remote/hybrid) to support work-life balance.
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