AI Engineer

4 weeks ago

London, Greater London, United Kingdom AXIS Capital Full time

About AXIS Capital

We are a trusted global provider of specialty lines insurance and reinsurance, known for our outstanding client service, intelligent risk taking, and superior risk-adjusted returns for our shareholders. Our entrepreneurial, disciplined, and ethical corporate culture makes us a great place to work.

Our Mission

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.

Job Summary

We are seeking an AI Engineer to join our Innovation & Analytics team. The successful candidate will be responsible for developing and implementing artificial intelligence solutions to solve complex problems and enhance business operations.

Key Responsibilities

  1. Collaborate with cross-functional teams to design, develop, and deploy AI models and algorithms that enable data-driven decision making.
  2. Lead the deployment and infrastructure activities relating to AI-driven models and solutions.
  3. Assist in gathering, processing, and analyzing large datasets to extract insights for machine learning and AI applications.
  4. Develop and optimize machine learning models and Generative AI systems for real-world business applications.
  5. Deploy AI models and solutions to production environments, ensuring seamless integration with existing systems and monitoring performance.
  6. Build and maintain scalable AI solutions, ensuring efficient model deployment and integration into business workflows.
  7. Support the end-to-end lifecycle of AI solutions, from data engineering to model training, evaluation, and deployment in production environments.
  8. Contribute to improving AI model performance and scalability through rigorous testing, monitoring, and optimization.
  9. Collaborate with stakeholders to ensure AI solutions align with business objectives and comply with regulatory requirements.
  10. Stay current with the latest trends and advancements in AI, ML, and GenAI technologies.

Requirements

  1. Bachelor's or master's degree in computer science, data science, software engineering, or related field.
  2. Experience designing and implementing AI solutions with a focus on machine learning, recommendation systems, pattern recognition, NLP, or data mining.
  3. Strong programming skills in Python; familiarity with AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  4. Experience with data preprocessing, feature engineering, and working with structured and unstructured data.
  5. Understanding of machine learning techniques, including supervised, unsupervised learning, and GenAI methodologies.
  6. Familiarity with cloud platforms (particularly Azure) and experience with deploying AI models at scale.
  7. Strong problem-solving skills, analytical thinking, and attention to detail.
  8. Excellent communication skills and ability to work in a team-oriented, fast-paced environment.

Preferred Qualifications

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

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.

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