CAMP Systems International, Inc.

• Design and implement comprehensive test strategies for AI/ML-based SaaS products, including functional testing, integration testing, and performance testing • Develop and maintain automated test frameworks and scripts to ensure consistent product quality across releases • Collaborate with development teams to understand product requirements and identify potential quality risks early in the development cycle • Lead the end-to-end testing process, from test planning to execution and reporting • Establish and maintain testing processes, including bug tracking, test case management, and quality metrics • Work closely with product managers to understand customer requirements and ensure testing aligns with user expectations • Mentor team members on quality best practices and testing methodologies • Participate in software design/code reviews and provide feedback on testability and quality aspects

• Deliver generative AI features: design, fine‑tune, and evaluate LLM/LMM applications (prompting, RAG, safety, and evals) that ship to production. • Build agentic AI workflows: plan and execute multi‑step tasks with tool use, memory, and orchestration; integrate with internal APIs and data sources. • Build & ship models: Develop, deploy, and scale machine learning models; own full lifecycle from experimentation to production, monitoring, and iteration. • Integrate analytics: Embed advanced analytics into applications and systems to enhance functionality and decision-making. • Deep data analysis: Analyze large, complex datasets to extract insights that inform strategy and product direction. • Raise the bar on rigor: Apply regression, tree-based methods (Random Forest, Boosting), text mining/NLP, neural networks, and clustering with strong statistical validation. • Optimize pipelines: Improve performance and reliability of ML pipelines and cloud integrations across AWS, Google Cloud, and Azure. • Mentor & lead: Guide junior teammates; enforce best practices for experimentation, documentation, and reproducibility. • Partner cross-functionally: Work closely with product, engineering, and business stakeholders to align initiatives with outcomes and timelines.

• Be the first line of contact when customers, clients, and partners call or e-mail with inquiries • List, understand, and act in response to needs • Maintain records of customer communications • Provide effective and efficient assistance of customer facing applications, reports, and services • Support CAMP’s Business interactions, setup, user access, data processing and if needed connect to proper Aircraft Analysts • Maintain high standards of telephone and e-mail etiquette and promptness

• In this role, you will be tasked with a mixture of client technical support and engine performance analysis and system validation. • You will be expected to analyze gas path performance data to identify premature engine deterioration and recommend maintenance in accordance to OEM approved instructions for continued airworthiness. • Provide customers and other departments with technical support with regards to engine performance. • Recommend system improvements and validate new features. • Maintain a record of customer communications. • Maintain knowledge of applicable OEM and engine model maintenance program requirements.

• Drive business development opportunities for CAMP by becoming a trusted colleague and on-site representative for a key CAMP partnership • Determine the needs of the partnership by building relationships, identify overall impact on the business, and working to co-create solutions or escalate issues • Support on-site deliveries of new aircraft and work to capture these customers on CAMP through presentations and product demonstrations that communicate the value delivered by the CAMP service • Identify opportunities to improve the relationship with this key partner, drive new business, and enhance our value • Work cross-functionally with our Product, Operations, and Sales teams to make sure the partner has the best possible experience related to CAMP’s services • Become an expert in the CAMP external and internal products and develop working knowledge of the CAMP enterprise solution • Understand customer requirements and configure CAMP’s product offerings to drive efficiency and meet customer’s specifications • Clearly articulate features and differentiate CAMP’s product offerings across new and existing CAMP customers • Draft and deliver targeted presentations • Record, manage and track customer issues through final resolution • Perform post-resolution follow-ups of customer issue requests

• Represent FlightBridge in a positive and professional manner. • Maintain excellent relationships with FlightBridge customers and vendors. • Answer FlightBridge support calls, emails and website inquiries. • Manage airline ticketing issues, booking changes and refunds directly in Sabre GDS, ensuring timely resolution of errors and compliance with policies. • Coordinate with airlines, vendors, and customers to address credit card declines, voids, and ticketing exceptions, ensuring smooth transactions. • Effectively and quickly analyze and resolve customer-reported issues, whether technical or non-technical in nature. • Follow the issue through successful resolution. • Escalate issues to the technical support and software engineering teams as needed. • Maintain expert working knowledge of FlightBridge technology and how our customers use the system in various operational situations. • Assist the account management team with new customer onboarding, including systems integration tasks, new user setup, data import, account settings and preferences configuration. • Tasks must be performed while adhering to service level agreements and delivery times set by the account manager. • Work directly with software partners to help jointly resolve issues between integrated systems. • Work with vendors to resolve booking, fulfillment and billing concerns. • Thoroughly understand customer issues; resolve "tier one" issues; provide solutions and address concerns. • Communicate customer requests to team and record and route issues to appropriate individuals via assigned tickets. • Develop templates and scripts for common problems and requests. • Perform quality assurance and software testing for code fixes and enhancements linked to customer reported issues and requests. • Document account activity accurately and consistently in the CRM tool.

• In this role, you will be tasked with a mixture of client technical support and engine performance analysis and system validation. • We are looking for aviation enthusiasts with a deep understanding of the turbomachinery operation and a desire to help our customers optimize their engine maintenance by providing maintenance recommendations based on the analysis of gas path performance data. • The most successful people are passionate about investigating suspicious performance trends and shifts to understand their cause. • They bring a concierge approach to customer care, with accelerated understanding for business data, database management and system functionality validation. • As an EHM Analyst you get the chance to apply your wealth of aviation knowledge in a new and unique format. • Analysis of gas path performance data to identify premature engine deterioration and recommend maintenance in accordance to OEM approved instructions for continued airworthiness. • Provide customers and other departments with technical support with regards to engine performance. • Recommend system improvements and validate new features. • Provide support to develop new product and services. • Maintain a record of customer communications. • Maintain knowledge of applicable OEM and engine model maintenance program requirements.

• Explore and shape engine health concepts by investigating performance trends (gas path, vibration, oil, fuel) and connecting them to product behavior • Do hands-on data exploration (write SQL independently, leverage available APIs, explore structured datasets, test hypotheses) before requesting engineering bandwidth • Prototype rapidly with AI tools (e.g., Cursor, ChatGPT, Lovable) to build lightweight proofs-of-concept, simulate detection logic, and create internal analysis tools • Partner with engineering to refine implementation approaches, align with architectural constraints, and clarify requirements with technical depth • Improve delivery efficiency by making analytics expectations concrete earlier—so we see fewer rework cycles later

• Explore and shape engine health concepts by investigating performance trends • Conduct hands-on data exploration and test hypotheses • Prototype rapidly with AI tools to build proof-of-concepts • Partner with engineering to refine implementation approaches • Improve delivery efficiency by making analytics expectations concrete

• Design, develop, and maintain high-performance, scalable, high-volume, and efficient ETL/ELT pipelines to extract, transform, and load data from various sources such as Oracle. • Create and optimize data models and schemas to support various use cases (such as AI/ML solutions, benchmarking, customer data delivery) in Snowflake and Redshift. • Ensure data quality, integrity/completeness, and governance by implementing best practices for monitoring and validation. • Build automated monitoring and alerting mechanisms. • Collaborate with cross-functional teams to understand data requirements to support business objectives. • Stay up to date with emerging trends and technologies in data engineering.