AI Data Engineer (Retail Bank, RAG/LLM), 50k
Summary
Build and maintain AI/ML models and pipelines for a large retail bank, using Python, SQL, and LLM prompt engineering to extract insights and drive decisions.
Overview
1 year renewable contract, minimum 2 years of experience; skills include Python/R, SQL, and LLM prompt.
About Our Client
The company is a large organization in the financial services industry, known for its global presence and commitment to innovation. It focuses on leveraging technology to drive business growth and deliver exceptional solutions to its clients.
Job Description
- Analyzing large datasets to identify trends and actionable insights.
- Developing and maintaining machine learning models to support business objectives.
- Collaborating with cross-functional teams to define data requirements and project goals.
- Generating reports and visualizations to communicate findings effectively to stakeholders.
- Ensuring data accuracy and completeness through thorough validation processes.
- Supporting the implementation of AI-driven solutions across various departments.
- Staying updated on the latest AI and data analytics trends to recommend best practices.
- Providing technical support and guidance on data-related issues as needed.
The Successful Applicant
- A strong academic background in data science, computer science, or a related field.
- Min. 2 years of experience in Machine Learning/ AI Engineering
- Proficiency in programming languages such as Python, R, or SQL.
- Experience working with machine learning frameworks and tools.
- Excellent problem-solving and critical-thinking skills.
- The ability to communicate complex data insights in a clear and concise manner.
- A keen interest in AI technologies and their applications in financial services.
What's on Offer
- Hands-on experience with AI technologies in the financial services industry.
- Opportunity to work in a large organization with a global reach.
- Collaborative work environment and exposure to diverse projects.