About Company: With a global team size of over 370 and specialization in providing data management solutions to the aeronautics industry, the company has established itself as a key player in its field. Being a subsidiary of the world's most renowned airline maintenance group company adds further credibility to its reputation. Since its establishment in 2007, the company has likely gained valuable experience and expertise in understanding the unique data management needs of the aeronautics industry. With its extensive knowledge and resources, it can offer tailored solutions to help airlines and other aviation companies effectively manage their data, streamline operations, and improve overall efficiency. The fact that many airline companies worldwide trust this company as a trusted partner is a testament to its reliability and the quality of its services. Building trust in the aviation industry is crucial, and being recognized as a trusted partner reflects the company's commitment to delivering exceptional solutions and maintaining strong relationships with its clients. Overall, this company's combination of industry expertise, global presence, and the trust placed in it by airlines around the world positions it as a leading provider of data management solutions to the aeronautics industry.
Responsibilities:
- Collaborate with senior AI/ML engineers to develop, test, and optimize machine learning models and AI solutions.
- Assist in deploying and maintaining AI models in production environments, ensuring scalability, robustness, and performance.
- Perform feature engineering and EDA to prepare quality data for model training.
- Work on GenAI using NLP/NLU technologies such as AzureOpenAI, Langchain, HuggingFace, NLTK, and SpaCy for text-based AI solutions.
- Support integration of AI capabilities into existing products, ensuring smooth collaboration between AI models and backend systems.
- Conduct performance analysis and A/B testing to evaluate deployed AI models and suggest improvements.
- Stay updated with the latest advancements in AI/ML and share insights with the team to drive innovation.
- Participate in team meetings, brainstorming sessions, and technical discussions to provide valuable input on AI/ML projects.
Requirements:
- Bachelor’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- 2-4 years of hands-on experience with AI/ML projects or internships, particularly in machine learning, GenAI, OCR, NLP, or computer vision.
- Familiarity with ML frameworks such as TensorFlow, PyTorch, or Keras.
- Understanding of API integrations with AI/ML models to connect models with applications.
- Strong programming skills in Python and experience with essential libraries like NumPy, pandas, and scikit-learn.
- Basic knowledge of deploying and monitoring AI models in production, including troubleshooting and debugging.
- Hands-on experience with text preprocessing, text analytics, and familiarity with transformer models like BERT or GPT.
- Familiarity with cloud platforms like Azure and relational databases like MySQL.
- Strong communication skills and a collaborative mindset, with the ability to clearly explain complex technical concepts.