Machine learning engineer airline safety

Описание:

Safety Manager
365 helps airline safety teams analyze safety reports, operational data and investigations, identify risks earlier, and make better operational decisions.

• Own ML initiatives end to end, from understanding customer problems and designing experiments to implementation, deployment, measurement and continuous improvement
• Evaluate ML and AI technologies with a product mindset, choosing pragmatic solutions that deliver customer and business value
• Partner with product managers and engineers to design and deliver robust, production-ready ML and AI solutions
• Write clean, efficient and maintainable code and uphold high quality standards
• Collaborate through regular pair programming, share knowledge, support colleagues and improve engineering practices
• Provide technical leadership for machine learning initiatives, owning work from problem definition and experimentation through production delivery
• Coach and mentor engineers, raising ML capability through pairing, knowledge sharing and technical guidance.

• At least 8 years of relevant professional machine learning experience, including substantial hands-on experience building and operating ML products in production
• Strong practical foundation in machine learning and software engineering
• Take a pragmatic, iterative approach to ML development, running small, time-boxed experiments and adapting based on evidence
• Excellent analytical skills and practical understanding of machine learning and statistics, with a focus on text-based (NLP) models
• Superior knowledge of Python and the PyData ecosystem, including pandas, scikit-learn, pytorch / tensor flow, and MLOps frameworks such as MLFlow, Weights & Biases or similar
• Proven expertise with Large Language Models (LLMs) and developing agentic AI applications
• Extensive hands-on experience designing, building, deploying and operating production ML systems, including data/ML pipelines, model evaluation, observability and productisation in a cloud environment
• Excellent communication, self-awareness and interpersonal skills
• able to challenge ideas constructively, navigate disagreement with confidence and empathy, and build trust across a collaborative team
• Strong software engineering fundamentals and experience designing and evolving production systems, with sound architecture and engineering trade-offs
• Nice to have: experience with PydanticAI, a passion for the aviation industry and a desire to use AI to improve airline safety

• Salary range: €110-€130K annually, depending on experience
• Full-time role, 40 hours per week, with core hours from 10am to 5pm and flexibility outside those hours
• Annual team offsite and access to offices in Europe and a co-working space in your location
• High-end equipment
• Learning & Development budget for industry events and professional courses
• Hybrid-remote work policy.