Intelligent Automation Engineer
2 weeks ago
We are looking for a tech enthusiast to join our Intelligent Automation team as an Intelligent Automation Engineer. In this role, you will help improve our banking operations by being part of the team that implements automation solutions for various processes. These solutions will enhance our service delivery and operational efficiency. You will also develop and maintain dashboards and analytics for senior management, providing insights for decision-making. Your work will contribute to our goal of being a leader in technological innovation within the financial industry.
Key Responsibilities and Job Scope:
- Develop and maintain dashboards and analytics for senior management to support budgeting, costing, and financial management, delivering actionable insights for decision-making.
- Collaborate with stakeholders to understand banking operations, identify pain points, and be part of the team that translates the requirements into impactful automation solutions using cutting-edge technologies such as Generative AI, Machine Learning, Data Science & Analytics, Natural Language Processing, and Robotic Process Automation.
- Optimize operational processes by leveraging advanced technologies such as GenAI Agentic and Python models to assist in building solutions that enhance efficiency and service delivery within the bank's operations. This includes extracting information from documents and storing it in structured formats.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Analytics, or Computer Engineering.
Skill Sets Requirements:
- Dashboard Development: Experience in building interactive and visually appealing dashboards using tools such as Tableau, Power BI, or similar platforms.
- SQL Proficiency: Strong knowledge of SQL for data querying, manipulation, and management.
- Machine Learning: Expertise in building and deploying machine learning models, including experience with frameworks such as PyTorch, or scikit-learn.
- Python Programming: Proficiency in Python for developing automation scripts, data analysis, and machine learning applications.
- Generative AI: Familiarity with generative AI techniques and agentic modeling to create intelligent automation solutions.
- Data Analytics: Strong analytical skills to interpret complex data sets and generate actionable insights.
- Natural Language Processing (NLP): Experience with NLP techniques for extracting and processing information from unstructured text.
- Problem-Solving: Strong problem-solving skills to identify issues, develop solutions, and implement them effectively.
- Communication: Excellent communication skills to collaborate with stakeholders and present findings clearly and concisely.
- Team Collaboration: Ability to work effectively in a team environment and contribute to collective goals.
Experience:
- 1-2 years of relevant experience in the field of intelligent automation, data analytics, or a related area.
Elaine Goh Yee Lian | EA Reg No R1103703
Recruit Express Pte Ltd | EA Licence No 99C4599
Tell employers what skills you haveTableau
Automation Script
Analytical Skills
Natural Language Processing
Test Automation
Robotic Process Automation
PyTorch
SQL
Python
Data Science
Python Programming
Data Analytics
Power BI
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