Senior Machine Learning / AI Engineer

Job summary

The role involves designing, training, and deploying machine learning models for the BullzAI product line. You will collaborate with software developers to integrate these models into production environments while ensuring scalable and maintainable AI practices.

Job details

INETCO is on a mission to deliver the payment security and reliability that all people deserve – every moment, every day. We collaborate and co-create to build intelligent, AI-driven solutions that protect financial payment systems from fraud and cyber-attacks, ensuring the safety of consumers and businesses around the world. At INETCO, we’re redefining the landscape of payment security. We’d love for you to join us and experience the most positive, challenging and transformative experience of your career. About the Role We are looking for a Senior Machine Learning / AI Engineer to help design, build, test and deploy machine learning and AI-based systems for our BullzAI product line. This role is ideal for someone who enjoys working with real-world data, building practical AI systems, and turning machine learning concepts into reliable software features. Key Responsibilities Design, train, evaluate and improve machine learning models. Work with structured and unstructured data from high-speed, high-throughput systems. Develop supervised and unsupervised machine learning approaches. Research, design and prototype deep learning models where appropriate. Prepare datasets, engineer features and validate model performance. Support model deployment, monitoring, versioning and continuous improvement. Work with software developers to integrate models into product environments. Help define scalable and maintainable AI/ML development practices. Document model design, assumptions, results, limitations and operational requirements. Communicate model behaviour and results clearly to technical and non-technical stakeholders. Required Qualifications Strong hands-on experience building machine learning models for real-world applications. Strong experience with Python and common machine learning frameworks. Strong understanding of supervised learning, unsupervised learning, classification, anomaly detection and model evaluation. Experience preparing datasets, engineering features and validating model performance. Ability to write clean, reliable and maintainable code. Strong analytical and problem-solving skills. Ability to work with incomplete, noisy or complex real-world data. Ability to communicate technical concepts clearly. Nice to Have Experience with authentication, identity, cybersecurity, behavioural analytics or anomaly detection. Experience with deep learning, neural networks or sequence modelling. Experience with MLOps, model monitoring, model deployment or feature stores. Experience with GenAI, LLMs, RAG or prompt engineering. Experience working with APIs, production software systems or real-time scoring environments. Experience working with high-volume or low-latency data environments. Why INETCO? At INETCO, you’ll be part of a supportive, forward-thinking team building technology that helps financial institutions improve payment intelligence and resilience. We value accountability, curiosity and people who take pride in their work - and we offer the stability of a long-term role with room to grow. INETCO values diversity. We encourage people of all ages, backgrounds, identities and orientations to apply. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity and national origin. ** Please submit a cover letter with your application**

What you’ll do

The role involves designing, training, and deploying machine learning models for the BullzAI product line. You will collaborate with software developers to integrate these models into production environments while ensuring scalable and maintainable AI practices.

Requirements

Candidates must have strong hands-on experience building machine learning models and proficiency in Python. A deep understanding of supervised and unsupervised learning, along with the ability to work with complex real-world data, is required.

Listed skills

• Python · Preferred
• Machine learning · Preferred
• prompt engineering · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• Machine Learning
• Artificial Intelligence
• Deep Learning
• Supervised Learning
• Unsupervised Learning
• Anomaly Detection
• Data Engineering
• Model Deployment
• MLOps
• Feature Engineering
• Neural Networks
• Sequence Modelling
• Cybersecurity
• Behavioural Analytics
• Prompt Engineering
• Concept Drift Detection
• MLOps (Machine Learning Operations)
• Generative Artificial Intelligence
• Accountability
• Curiosity
• Real World Data
• Resilience
• Application Programming Interface (API)
• Software Development
• Artificial Neural Networks
• Authentications
• Communication
• Continuous Improvement Process
• Cyber Security
• Payment Systems
• Scalability
• Problem Solving
• Python (Programming Language)
• Product Lining
• Research Design
• Software Systems
• Team Building
• Unstructured Data
• Software Versioning
• Reliability
• Software Features
• Low Latency
• Artificial Intelligence Infrastructure
• Machine Learning Frameworks

Job areas

• Technology
• Software
• Data & Analytics
• Engineering
• Security & Safety
• Machine Learning Engineer
• Software Developers
• Computer and Information Research Scientists

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