Senior Data Engineer (Machine Learning)

Chubb is the world’s largest publicly traded property and casualty insurer operating in 54 countries, Chubb is making significant investments to thrive in a digital age. Chubb launched its third Technology Hub in Thessaloniki in 2022 which is rapidly developing.  Our new center of excellence in Greece is positioned to drive our ongoing business and to support our digital business transformation, as well as the company’s operations in the European region which encompasses 27 countries.

Overview

Chubb is looking for a Senior Data Engineer (Machine Learning) to join our team.  This is a permanent full-time position and a compelling opportunity to join a global, growing, financially stable and successful company.  As an industry leader, Chubb is an employer of choice for skilled technology professionals aspiring to develop a meaningful career in a fast-paced, diverse company with offices in most major cities in the world.

As a Senior Data Engineer (Machine Learning), you will be working closely with other experienced Data Scientists, Product Managers, and Data Engineers (Machine Learning). You will be responsible for developing and delivering advanced AI/ML models into production, leveraging the latest technologies in Natural Language Processing (NLP), deep learning, and transformer architectures. You should possess exceptional MLOps experience and strong skills in developing, training, tuning, and optimizing machine learning models to effectively collaborate with business and technology leaders in building AI/ML systems that meet organizational needs. 

Responsibilities:

• Deliver AI/ML models to production by following high-standard MLOps processes, including Continuous Integration and Continuous Delivery (CI/CD) practices. 

• Develop new or leverage/tune existing AI models, with a particular emphasis on transformer architectures and LLMs. 

• Own the full lifecycle of AI development from ideation, data exploration, and algorithm design to testing, deployment, monitoring, and tuning of models in production, including the use of prompt engineering for LLMs. 

• Evaluate and rank various ML algorithms and methods—including retrieval-augmented generation (RAG) techniques. 

• Develop ML/AI models to support data collection, ingestion, and migration efforts, ensuring integration with existing infrastructures. 

Qualifications:

• Bachelors degree in Accounting, Finance, Risk Management or Economics
• At least 5 years of experience as a Machine Learning Engineer or in a similar role. 
• Deep knowledge of mathematics, probability, statistics, and algorithms, with a focus on supervised and unsupervised learning methods. 
• Bachelor’s or Master’s Degree or Ph.D. in Mathematics, Data Analytics, Statistics, Computer Science, Electrical Engineering, Physics, Economics, Bioengineering, or another quantitative field preferred. 
• Experience working on cloud platforms such as Azure (preferably), AWS, or GCP. 
• Deep expertise in Python for ML, with proficiency in writing Pythonic code and relevant software design best practices. Familiarity with machine learning libraries for Python (FastAPI, FlaskAPI, scikit-learn, Pandas, SciPy, NumPy, PyTorch, TensorFlow, Hugging Face Transformers, etc.). 
• Strong understanding of modern machine learning techniques and algorithms, particularly those relevant to transformers and large language models, including fine-tuning techniques for NLP tasks. 
• Expertise in natural language processing applications, including but not limited to topic modeling, entity extraction, sentiment analysis, and the use of LLMs for conversational AI. 
• Additional Skills Required: 
  • Familiarity with container orchestration technologies like Kubernetes (k8s). 
  • Familiarity with business processes, preferably within the insurance industry. 
  • Confident in decision-making, with the ability to articulate processes or choices as needed. 
  • Strong motivation and a proactive approach to problem-solving. 
  • Excellent communication and interpersonal skills, enabling effective teamwork and collaboration. 
  • Flexibility and willingness to travel as needed. 
  • Fluency in English; additional languages a plus. 

Our team makes the difference, every time. For this reason, we offer in return!

We offer hybrid working model, explicit, structured career development, a competitive salary package, annual bonus, private medical cover, monthly allowance for lunch, continuous learning experiences, work in a fun, lively environment with mentoring from our groundbreaking senior mentors.

Integrity. Client Focus. Respect. Excellence. Teamwork

Our core values instruct how we live and work. We’re an ethical and honest company that’s wholly committed to its clients. A business that’s engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that’s collaborative and encouraging.

Diversity & Inclusion

At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. We earnestly strive to achieve an environment where all colleagues feel comfortable to perform to their full potential and are recognized for their contributions.

Many voices, One Chubb!