Senior Specialist - Data Science

As a Specialist - Software Development (Artificial Intelligence) at Accelya, you will play a crucial role in designing, developing, and implementing AI-driven solutions to address complex business challenges. Your expertise in machine learning, deep learning, natural language processing (NLP), and data engineering will be instrumental in collaborating with cross-functional teams to deliver cutting-edge AI-powered applications and contribute to advancing our 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:** - Bachelors or Masters 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. Accelya has been a key partner in simplifying airline financial and commercial processes for over 40 years. By empowering the air transport community with AI-driven solutions, we drive the industry forward and put control back in the hands of airlines, enabling them to progress further and faster. Join us in shaping the future of the air transport industry and turning your ambitions into reality! As a Specialist - Software Development (Artificial Intelligence) at Accelya, you will play a crucial role in designing, developing, and implementing AI-driven solutions to address complex business challenges. Your expertise in machine learning, deep learning, natural language processing (NLP), and data engineering will be instrumental in collaborating with cross-functional teams to deliver cutting-edge AI-powered applications and contribute to advancing our 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