Responsibilities:
- Develop and deploy Machine Learning and Generative AI solutions to analyze customer behavior and financial market data.
- Build AI-powered applications such as stock recommendation systems, financial chatbots, portfolio analysis tools, and market trend prediction models.
- Research, evaluate, and apply modern AI technologies including LLMs, RAG, and AI Agents to enhance products and internal operations.
- Collaborate with Data Engineers and cross-functional teams to integrate AI models into production systems.
- Work with ETL pipelines, data warehouses, and AWS cloud services to support AI and data-driven applications.
- Analyze trading, customer, and financial datasets to generate actionable insights for business and product development.
- Continuously improve model performance, scalability, and deployment efficiency.
Requirements:
- Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or related fields.
- At least 1 year of experience in AI, Machine Learning, Data Science, or related areas.
- Strong programming skills in Python and SQL.
- Hands-on experience with Machine Learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
- Basic understanding of LLMs, NLP, prompt engineering, and frameworks such as LangChain or similar tools.
- Knowledge of finance, securities, banking, or market data is an advantage.
- Strong analytical thinking, problem-solving, and communication skills.
- Ability to work collaboratively in a fast-paced environment and learn new technologies quickly.
- Good English skills.
