At a Glance
- Tasks: Build AI/ML solutions for aviation maintenance and operations using real operational data.
- Company: Join a global leader in aviation software with a focus on innovation.
- Benefits: Enjoy competitive pay, remote work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team with excellent career advancement opportunities.
- Why this job: Make a real impact in aviation by solving complex problems with cutting-edge technology.
- Qualifications: Experience in AI systems, machine learning, and backend engineering is essential.
We're building production AI/ML capabilities into aviation maintenance and operations software used globally by airlines, MROs, and CAMOs. You'll work on real problems with real operational data — predicting component failures, surfacing anomalies in live operations, mining decades of maintenance records, and getting models to run reliably in environments where downtime affects flight schedules. This is hands-on engineering: model development, data pipelines, deployment, and monitoring.
About OASES: Our Aviation group delivers mission-critical software solutions that empower airlines, airports, and aviation service providers to operate efficiently and safely. From maintenance planning and flight operations to compliance and resource management, our products enable customers to optimize performance, reduce costs, and ensure regulatory compliance.
Key Responsibilities:
- Predictive maintenance — remaining-useful-life models for components, failure prediction from sensor and event data.
- Anomaly detection — surfacing operational deviations across fleets in real time.
- Maintenance NLP — extracting structured signal from years of free-text maintenance logs and defect reports.
- Operational forecasting — parts demand, planning load, workflow bottlenecks.
- AI-assisted knowledge access — RAG and search over technical manuals, regulatory documentation, and internal operational knowledge.
- Productionisation — getting all the above to run reliably, observably, and at scale.
Requirements: We are looking for someone who understands how AI systems are built — not only how AI tools are used. Strong experience in several of the following areas:
- Machine learning model development and training.
- Time-series analysis and predictive analytics.
- LLMs, RAG pipelines, and vector search.
- Operational telemetry and data pipelines.
- MLOps and scalable AI deployment.
- Python and backend engineering.
- API and distributed systems design.
Strong advantages: aviation, predictive maintenance, industrial IoT, time-series forecasting at scale, or production LLM deployment. We are looking for an engineer capable of building operational AI systems that:
- Learn from operational data.
- Improve real-time decision-making.
- Integrate into production aviation workflows.
- Scale reliably in operational environments.
Why Join Us: This is an opportunity to help shape the future of operational aviation software and real-time operational intelligence across a global aviation software portfolio.
Remote Senior Applied AI/ML Engineer in Derry employer: Valsoft Corporation
At Valsoft Corp, we pride ourselves on being an excellent employer by fostering a culture of innovation and collaboration within our aviation group. As a Remote Senior Applied AI/ML Engineer, you'll have the unique opportunity to work on impactful projects that enhance aviation safety and efficiency while enjoying a flexible work environment that promotes professional growth and development. Our commitment to investing in our employees ensures that you will be part of a dynamic team that values your contributions and supports your career aspirations.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Applied AI/ML Engineer in Derry
✨Tip Number 1
Network like a pro! Reach out to folks in the aviation and AI/ML space on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about sliding into DMs. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to predictive maintenance or anomaly detection. Share your GitHub link when you apply through our website. We love seeing what you can do!
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and MLOps knowledge. Practice coding challenges and be ready to discuss your experience with data pipelines and model deployment. We want to see how you think on your feet!
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in our minds as we make decisions.
We think you need these skills to ace Remote Senior Applied AI/ML Engineer in Derry
Some tips for your application 🫡
Show Your Hands-On Experience:When you're writing your application, make sure to highlight your hands-on experience with AI/ML. We want to see how you've tackled real problems, like predictive maintenance or anomaly detection, so don’t hold back on the details!
Tailor Your Application:Take a moment to tailor your application to our specific needs. Mention your experience with operational telemetry, data pipelines, and MLOps. This shows us you understand what we’re looking for and that you’re genuinely interested in the role.
Be Clear and Concise:Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s relevant. Make it easy for us to see your skills and experiences without wading through fluff.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter.
How to prepare for a job interview at Valsoft Corporation
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of AI systems, especially in the context of aviation. Be ready to discuss your experience with machine learning model development, predictive analytics, and how you've tackled real-world problems using operational data.
✨Showcase Your Hands-On Experience
This role is all about hands-on engineering, so be prepared to share specific examples of your work with data pipelines, model deployment, and monitoring. Highlight any projects where you’ve successfully implemented solutions that improved decision-making or operational efficiency.
✨Understand the Aviation Context
Familiarise yourself with the aviation industry and its challenges. Knowing about predictive maintenance, operational telemetry, and how AI can enhance flight operations will give you an edge. It shows you're not just a techie but someone who understands the bigger picture.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your expertise. Brush up on time-series analysis, MLOps, and distributed systems design. Practising coding problems or discussing your thought process on past projects can help you articulate your skills effectively during the interview.
