Education: Bachelor''s or Master''s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
The Job :
We are seeking a passionate and innovative AI Engineer to join our growing team. In this role, you will work at the forefront of both traditional machine learning and cutting-edge generative AI technologies. You will contribute to the design, development, and deployment of AI-driven solutions that solve real-world challenges within the financial services industry.
Responsibilities:
- Explore and apply generative AI techniques: Research, experiment with, and implement generative AI models (e.g., transformers, large language models) for applications like data augmentation, synthetic data generation, anomaly detection, and natural language processing in financial contexts.
- Collaborate on AI solutions: Work closely with experienced AI engineers, data scientists, and software developers to integrate AI models into existing systems and build new AI-powered applications.
- Software development: Participate in the full software development lifecycle, including design, coding, testing, and deployment, adhering to best practices and industry standards.
- Analyze and interpret data: Analyze large datasets, identify patterns and trends, and derive insights to inform model development and business decisions.
- Develop and implement machine learning models: Design, build, and train traditional machine learning models (e.g., regression, classification, clustering).
Your Profile
What Were Looking For:
- Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Technical Skills:
- Strong understanding of fundamental AI/ML concepts (e.g., supervised/unsupervised learning, deep learning, natural language processing).
- Experience with Python and relevant AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Familiarity with generative AI models and frameworks (e.g., transformers, GPT).
- Proficiency in software engineering principles and practices.