For more than 40 years, Accelya has been the industry's partner for change, simplifying airline financial and commercial processes and empowering the air transport community to take better control of the future. Whether partnering with IATA on industry-wide initiatives or enabling digital transformation to simplify airline processes, Accelya drives the airline industry forward and proudly puts control back in the hands of airlines so they can move further, faster.
Key Responsibilities
- Develop, implement, and optimize machine learning models to address business challenges and enhance product features.
- Collaborate with data scientists, product teams, engineers, and stakeholders to understand requirements and translate them into ML solutions.
- Conduct data preprocessing, feature engineering, and data augmentation to ensure high-quality input for model training.
- Evaluate and validate models using appropriate metrics and techniques to ensure accuracy and reliability.
- Deploy and monitor machine learning models in production environments, ensuring they perform as expected.
- Continuously research and experiment with new algorithms, tools, and techniques to improve existing systems.
- Document processes, experiments, and results for future reference and knowledge sharing.
Qualifications
- Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or a related field. A Master's degree or Ph.D. is a plus.
- 3-5 years of hands-on experience as a Machine Learning Engineer or in a similar role.
- Proficiency in programming languages such as Python or Java.
- Strong experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-Learn, or similar.
- Solid understanding of machine learning algorithms, statistical methods, and data structures.
- Good understanding of deep learning techniques and frameworks including NLP
- Experience with data preprocessing, feature selection, and model evaluation techniques.
- Familiarity with big data technologies such as Hadoop, Spark, or similar is a plus.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
- Ability to work independently and collaboratively in a fast-paced environment.
Preferred Qualifications
- Experience in Airline Domain.
- Experience with cloud platforms such as AWS, Google Cloud, or Azure.
- Familiarity with DevOps practices and tools for ML model deployment and monitoring.
What does the future of the air transport industry look like to you Whether you're an industry veteran or someone with experience from other industries, we want to make your ambitions a reality!
