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.
Job Summary
The Specialist - Software Development (Artificial Intelligence) is responsible for designing, developing, and implementing AI-driven solutions to solve complex business challenges. This role requires expertise in machine learning, deep learning, natural language processing (NLP), and data engineering. The Specialist collaborates with cross-functional teams to deliver AI-powered applications and contributes to advancing the organization’s technological capabilities.
Key Responsibilities
AI Solution Development
Design, develop, and deploy machine learning models and AI algorithms tailored to business requirements.
Build and optimize deep learning models using frameworks like TensorFlow, PyTorch, or Keras.
Implement natural language processing (NLP) techniques for tasks such as text analysis, sentiment detection, and chatbot development.
Data Engineering and Processing
Collect, preprocess, and analyze large datasets for training and testing AI models.
Ensure data quality, integrity, and compliance with organizational standards.
Develop and maintain data pipelines and integration solutions for AI applications.
System Integration and Deployment
Integrate AI models into production systems using scalable and secure frameworks.
Collaborate with software engineers to deploy AI solutions on cloud platforms or on-premise systems.
Monitor and optimize the performance of deployed models.
Research and Innovation
Stay updated with the latest advancements in AI, machine learning, and deep learning.
Propose and implement innovative AI solutions to improve existing processes and products.
Conduct experiments to evaluate and refine AI models and algorithms.
Collaboration and Knowledge Sharing
Partner with product teams, business analysts, and stakeholders to understand and align solutions with business goals.
Mentor junior team members and share knowledge on AI tools and techniques.
Document AI workflows, models, and implementation processes for future reference.
Qualifications
Education
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. A PhD is a plus.
Experience
5+ years of experience in software development with 3+ years focused on AI/ML.
Proven track record of developing and deploying AI-based applications in production environments.
Technical Skills
Strong programming skills in Python, R, or Java.
Expertise in machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or Keras.
Proficiency in data engineering tools (e.g., Pandas, NumPy, Apache Spark).
Familiarity with NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
Knowledge of cloud AI services (e.g., AWS SageMaker, Google AI, Microsoft Azure AI).
Experience with databases (SQL and NoSQL) and big data technologies (e.g., Hadoop, Apache Kafka).
Soft Skills
Strong analytical and problem-solving skills.
Excellent communication and teamwork abilities.
Ability to manage multiple projects and deliver results in a fast-paced environment.
Preferred Skills
Experience with computer vision technologies (e.g., OpenCV, YOLO, Fast R-CNN).
Knowledge of reinforcement learning and generative AI techniques.
Familiarity with MLOps practices and tools.
Preferred Certifications
Google Professional Machine Learning Engineer.
Microsoft Certified: Azure AI Engineer Associate.
AWS Certified Machine Learning – Specialty.
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!
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