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.

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.

Hands-on experience in developing and deploying Machine Learning and Generative AI solutions for customer behavior analysis, financial market data analysis, or similar use cases.

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.