ML Ops Engineer

Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 40,000 people worldwide.

Chubb launched its third Engineering Center in Thessaloniki in 2022. Our rapidly expanding new Chubb Engineering Center in Greece (CECG) is integrated with the Engineering Centers in India and Mexico to support our global technology needs and digital business transformation, as well as the company's operations in the Europe - Middle East - Africa region operating in 27 countries.

Chubb is looking for an ML/ML Ops Engineer to join our team. As an ML/ML Ops Engineer, you will be working closely with other experienced Machine Learning Engineers, Machine Learning Operations Engineers, Data Engineers, Data Analysts and Product Managers. 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 ML Ops 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 ML Ops processes, including Continuous Integration and Continuous Delivery (CI/CD) practices. 
• 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. 
• Develop ML/AI models to support data collection, ingestion, and migration efforts, ensuring integration with existing infrastructures. 
• Develop new or leverage/tune existing AI models, with a particular emphasis on transformer architectures and LLMs. 
• Evaluate and rank various ML algorithms and methods—including retrieval-augmented generation (RAG) techniques. 

• 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. 
• At least 3 years of experience as a Machine Learning Engineer or in a similar role. 
• Experience working on cloud platforms such as Azure (preferably), AWS, or GCP. 
• Familiarity with container orchestration technologies like Kubernetes (k8s), Docker and CI/CD practices. 
• 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. 
• Deep knowledge of mathematics, probability, statistics, and algorithms, with a focus on supervised and unsupervised learning methods. 
• 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. 
• 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!