Senior Machine Learning Engineer

3-5 years
a month ago 13 Applied
Job Description

As a Senior Machine Learning Engineer at Finexus Sdn Bhd, you will be responsible for leading and contributing to the development of advanced machine learning models and algorithms to solve complex problems and drive innovation in our field. You will collaborate with cross-functional teams and play a critical role in designing, developing, and implementing machine-learning solutions to support our company's objectives. This is an opportunity to make a significant impact and shape the future of the company's AI-driven products and services.

You will report directly to the Technology Director and will have an impact on projects such as:

Applicants Identification and Verification & eKYC:

  • Implement automated solutions for customer identity verification, anti-money laundering (AML) checks, and know-your-customer (KYC) compliance.
  • Collaborate with regulatory and compliance teams to ensure that machine learning models meet industry standards and guidelines.
  • Ensure timely and accurate due diligence processes without compromising user experience.
Document Text Extraction and Understanding:
  • Implement image processing and OCR solutions to extract text data from user-submitted documents.
  • Implement natural language processing solutions to understand extracted text data.
Fraud Detection:
  • Develop and improve ML models to detect and prevent fraudulent activities across Finexus fintech platform.
  • Analyze large datasets to identify patterns and anomalies indicative of fraudulent behavior.
  • Automate repetitive fraud detection activities conducted by the operations team

Key responsibilities include:

Contribute to the design, development, and deployment of AI-driven products and solutions.
Collaborate with cross-functional teams to identify business opportunities and translate them into AI projects.
Research, evaluate, and adopt state-of-the-art AI technologies to improve existing processes and develop new capabilities. This includes the full ML development technical stack, from Data Science to MLOps.
Provide technical leadership and mentorship to junior team members, fostering a culture of continuous learning and growth.
Architect scalable and robust AI systems, ensuring performance, reliability, and security.
Ensure effective communication of technical concepts and project updates to both technical and non-technical stakeholders.
Contribute to the data security infrastructure that keeps AI development safe, compliant, and respecting data privacy laws.

Minimum Qualifications:

Bachelor's degree in Computer Science, preferably with a focus on Machine Learning.
Proven experience (> 3 years) in AI, machine learning, or related technical roles.
Strong programming skills in Python and Java
In-depth understanding of AI algorithms, neural networks, and deep learning techniques.
Hands-on experience with designing and implementing AI models and applications.
Familiar with AI libraries such as Tensorflow, PyTorch, OpenCV, kornia, scikit-learn, ONNX, etc.
Familiar with relational DBs e.g. PostgreSQL database.
Familiar with version control systems such as Git and SVN.
Familiar with Python frameworks such as FastAPI.
Familiar with Linux operating systems

Preferred Qualifications:
These are a plus

Master's in Computer Science.
Knowledge of computer vision and natural language processing (NLP).
Familiarity with Docker containerization.
Familiarity with Apache Airflow and mlflow.

Join us at Finexus Sdn Bhd and be at the forefront of shaping the future of Fintech AI technology. As a Senior Machine Learning Engineer, you will have the opportunity to drive innovation and create impactful AI solutions that transform industries. Apply your expertise and passion to contribute to a new era of AI-driven excellence.

Leading technology and financial services companies connecting and serving consumers, businesses, banks and central banks. We are headquartered in Kuala Lumpur, Malaysia and our business interests span from New Zealand, Australia, Malaysia and ASEAN to India. Currently, we service over 80+ banks and financial institutions in the region.

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