About MOGOPLUS:

MOGOPLUS is an award-winning Australian fintech company with a global reach, providing data and insights solutions to the financial services sector. We empower financial institutions, credit unions, and digital credit providers with instant decisioning and straight-through processing capabilities. Our clients include major Tier 1 banks, leading neobanks, digital non-bank lenders, and alternative finance providers in Australia and the UK.

We're building the future of finance, and we need your expertise.

About this opportunity:

We are seeking a highly motivated and experienced Lead AI Engineer to join our growing team and lead the development and deployment of our AI-powered systems and agents within our data product portfolio. This role is crucial in shaping our AI strategy, driving technical excellence, and building a high-performing team.

What you will do (non-exhaustive):

• Lead the design, development, and deployment of AI models for our data products, specifically focusing on credit decisioning and lending products. Familiarity and practical experience in building AI agents is critical to succeed in this role.

• Drive the development and implementation of scalable and robust AI infrastructure, including data pipelines, model training and deployment platforms, and monitoring systems.

• Collaborate with engineers, product specialists, and other stakeholders to translate business requirements into technical specifications for AI applications and beyond.

• Mentor and guide junior engineers, fostering a culture of continuous learning and knowledge sharing.

• Stay well-informed of the latest advancements in AI research and development, exploring new applications and technologies to enhance our data products.

• Ensure all AI solutions adhere to strict data privacy and security standards (e.g., CDR, Australian Data Privacy Act, ISO 27001), working closely with security and compliance teams.

• Champion best practices in DevSecOps, fostering a culture of continuous integration, continuous delivery, and continuous security.

What We're Looking For:

• 10+ years of experience in developing and deploying ML models in production environments, preferably within the banking and finance industry.

• Proven experience with machine learning and deep learning techniques, including model building, training, and evaluation.

• Experience with specific AI frameworks like PyTorch Lightning or Hugging Face.

• Proficiency in Python and relevant libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, and data visualisation libraries (e.g., matplotlib, seaborn).

• Experience with cloud platforms, preferably GCP, including:

• Cloud infrastructure deployment and management (e.g., GKE, Docker).

• Cloud storage services (e.g., Cloud Storage).

• Cloud-based data processing frameworks (e.g., Spark, Hadoop, Databricks).

• Strong understanding of software engineering principles and best practices, including:

• Version control systems (e.g., Git).

• Agile development methodologies.

• Continuous integration, continuous delivery, and continuous security (CI/CD/CS) pipelines.

• Experience with Explainable AI (XAI) techniques.

• Excellent communication, collaboration, and leadership skills.

• It would be nicer if you also have:

• Familiarity with the AI Risk Frameworks (e.g., NIST AT 100, NIST AI 600)

• Experience with API development and integration.

• Familiarity with data privacy regulations like Australian Data Privacy Act, GDPR, CCPA, etc.

You will benefit from our:

• Competitive salary and benefits package.

• Opportunity to work on impactful projects with real-world applications in the financial industry.

• Collaborative and innovative work environment with a focus on learning and growth.

• Access to industry-leading training and development opportunities.

• The chance to be part of a passionate team dedicated to revolutionising fintech.

To Apply:

Please submit your application here.

MOGOPLUS jobs

Lead AI Engineer - Data Products (Fintech)