Описание:
SafetyManager365 helps airline safety teams analyze safety reports, operational data and investigations, identify risks earlier, and make better operational decisions.
Задачи:
- 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.
Требования:
- 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 / tensorflow, 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
Условия:
- 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.
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