AI Engineer

As an AI Engineer you will play a key role in developing and implementing advanced machine learning models, algorithms, and AI solutions that drive the future of financial technology. You will work closely with our data scientists, software engineers, and product teams to create intelligent systems that enhance our platform's capabilities, improve user experiences, and drive data-driven decision-making across the organisation.

Key Responsibilities:

• Design and Development: Build and optimise AI and machine learning models to address key business challenges in the fintech space, including fraud detection, credit scoring, personalized financial recommendations, and algorithmic trading.
• Data Analysis & Feature Engineering: Analyse large, complex datasets to extract meaningful insights, identify trends, and generate actionable features for machine learning models.
• Model Training & Testing: Develop and train machine learning models using a variety of algorithms (e.g., supervised, unsupervised, reinforcement learning) and ensure models are performant, scalable, and robust.
• Collaboration: Work closely with cross-functional teams (data scientists, product managers, software engineers) to integrate AI models into production systems and ensure seamless deployment.
• Research & Innovation: Stay up to date with the latest advancements in AI, machine learning, and fintech, and explore innovative approaches to improve existing models and solutions.
• Model Deployment & Monitoring: Oversee the deployment, monitoring, and performance tracking of AI models in a live environment to ensure they are operating optimally and delivering value.
• Documentation & Reporting: Write clear and concise technical documentation for models, algorithms, and processes. Communicate complex AI concepts to non-technical stakeholders and contribute to internal knowledge-sharing initiatives.

Required Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. A Ph.D. in AI/ML is a plus.
• Experience: At least 3 years of professional experience in AI/ML engineering, preferably within the fintech, finance, or technology sectors.

Technical Skills:

• Proficiency in programming languages such as Python, Java, or C++.
• Solid experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
• Strong knowledge of algorithms, data structures, and computational mathematics.
• Experience with data manipulation tools such as Pandas, NumPy, and data visualization libraries (e.g., Matplotlib, Seaborn).
• Familiarity with cloud platforms (AWS, Google Cloud, or Azure) and machine learning deployment tools (e.g., TensorFlow Serving, Kubernetes).
• Familiarity with financial datasets, tools, and concepts (e.g., time-series data, risk assessment models, fraud detection).
• AI Techniques: Experience with a variety of AI techniques such as supervised learning, deep learning, reinforcement learning, and natural language processing (NLP).
• Data-Driven Mindset: Strong analytical and problem-solving skills with the ability to interpret and transform data into actionable insights.

Desired Skills & Experience:

• Familiarity with fintech regulations, including data privacy and security (e.g., GDPR, PCI-DSS).
• Experience working with large-scale distributed systems and data engineering pipelines.
• Knowledge of blockchain, cryptocurrencies, or financial market analysis is a plus.
• Strong communication skills, with the ability to explain complex AI concepts to non-technical stakeholders.
• Proactive, team-oriented, and passionate about innovation in fintech.

If you are interested in this, please APPLY now for more detail.