Junior AI Engineer

This is your opportunity to join AXIS Capital – a trusted global provider of specialty lines insurance and reinsurance.  We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders. We also proudly maintain an entrepreneurial, disciplined and ethical corporate culture.  As a member of AXIS, you join a team that is among the best in the industry.

At AXIS, we believe that we are only as strong as our people. We strive to create an inclusive and welcoming culture where employees of all backgrounds and from all walks of life feel comfortable and empowered to be themselves. This means that we bring our whole selves to work. 

All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex, pregnancy, sexual orientation, gender identity or expression, national origin or ancestry, citizenship, physical or mental disability, age, marital status, civil union status, family or parental status, or any other characteristic protected by law. Accommodation is available upon request for candidates taking part in the selection process.

How does this role contribute to our collective success? 

Data and analytics are of critical importance for AXIS.  Simply put, we want to turn data into information, that can be used to: 

• Enable decisions to be made with confidence, based on information not just intuition.  

• Be more proactive, using information to identify new opportunities, and getting to them before our competitors.  

• Realize cost savings, finding ways to make processes more efficient, enabling our people to focus on using their skills to further add business value.  

The Innovation & Analytics team is a core component of AXIS’s strategy, with the potential to transform the way in which we do business and enable us to effectively leverage data and technology to our competitive advantage. The central mandate is to horizon-scan, prototype and implement innovative solutions to business problems. 

What will you do in this role? 

The AI engineer is responsible for developing and implementing artificial intelligence solutions to solve complex problems and enhance business operations. This role works closely with cross-functional teams to design, develop, and deploy AI models and algorithms that enable data-driven decision making. The AI engineer is an expert in machine learning, deep learning, and data analysis and creates intelligent systems that automate processes, improve efficiency, and drive business innovation. 

In this role you will be responsible for: 

• Collaborating with the Lead Data Scientist, data scientists, Innovation & Analytics Leads to support the design, development, and deployment of AI-driven models and solutions. 

• Leading the deployment and infrastructure activities relating to AI-driven models and solutions. 

• Assisting in gathering, processing, and analyzing large datasets to extract insights for machine learning and AI applications. 

• Developing and optimizing machine learning models and Generative AI systems for real-world business applications. 

• Deploying AI models and solutions to production environments, ensuring seamless integration with existing systems and monitoring performance. 

• Building and maintaining scalable AI solutions, ensuring efficient model deployment and integration into business workflows. 

• Supporting the end-to-end lifecycle of AI solutions, from data engineering to model training, evaluation, and deployment in production environments. 

• Contributing to improving AI model performance and scalability through rigorous testing, monitoring, and optimization. 

• Collaborating with stakeholders to ensure AI solutions align with business objectives and comply with regulatory requirements. 

• Staying current with the latest trends and advancements in AI, ML, and GenAI technologies. 

About You: 

We encourage you to bring your own experience and expertise to the table so, while there are some qualifications and experiences we need you to have, we are open to discussing how your individual knowledge might lend itself to fulfilling this role and help us achieve our goals. 

What you need to have: 

• A bachelor's or master’s degree in computer science, data science, software engineering, or related field 

• Experience with AI data science, ML engineering, or data analytics. 

• Experience designing and implementing AI solutions with a focus on machine learning, recommendation systems, pattern recognition, NLP, or data mining. 

• Strong programming skills in Python; familiarity with AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). 

• Experience with data preprocessing, feature engineering, and working with structured and unstructured data. 

• Understanding of machine learning techniques, including supervised, unsupervised learning, and GenAI methodologies. 

• Familiarity with cloud platforms (particularly Azure) and experience with deploying AI models at scale. 

• Strong problem-solving skills, analytical thinking, and attention to detail. 

• Excellent communication skills and ability to work in a team-oriented, fast-paced environment. 

What we prefer you to have: 

• Experience on projects involving big data processing and distributed computing frameworks such as Apache Spark. 

Role Factors: 

In this role, you will typically be required to: 

• Engage in company activities to grow your network and build a strong team culture. 

• Attend your local office to meet and build relationships with colleagues and the wider business. 

What we offer: 

You will be eligible for a comprehensive and competitive benefits package which includes medical plans for you and your family, health and wellness programs, retirement plans, tuition reimbursement, paid annual leave, and much more.