ML Ops Engineer

Job Description
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.

Overview
Chubb is looking for an
MLOps Engineer
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 MLOps 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 delivering and monitoring advanced AI/ML models into production. We are seeking for an experienced ML Operations Engineer with a strong background in cloud platforms, containerization technologies, and Python for machine learning. The ideal candidate will have expertise in building scalable APIs, continuous integration, and modern ML techniques, particularly in transformers and large language models.

Responsibilities

• Deliver AI/ML models to production by following high-standard MLOps processes, including Continuous Integration and Continuous Delivery (CI/CD) practices.
• Develop and maintain scalable machine learning infrastructure on cloud platforms.
• Design and implement containerized applications using technologies like Kubernetes and Docker.
• Build and manage APIs, ensuring they are scalable and efficient for multi-threaded or batched processing.
• Collaborate with software development teams to integrate machine learning models into production environments.
• Write clean, efficient, and Pythonic code, adhering to software design best practices.

Qualifications

• Bachelor's or Master's Degree or Ph.D. in Computer Science, Electrical Engineering or another quantitative field preferred.
• At least 2 years of experience as a MLops Engineer or in a similar role.
• Experience working on cloud platforms such as Azure (preferably), AWS, or GCP.
• Experience building software on top of containerization technology (Kubernetes, Docker etc.), and familiarity with frameworks/tools such as FastAPI, Uvicorn.
• Familiarity with Continuous Integration tools such as Jenkins.
• Experience with architecting and consuming APIs in a scalable (multi-threaded/batched) fashion.
• 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.).
• Understanding of modern machine learning techniques and algorithms, particularly those relevant to transformers and large language models.
• Experience with Databricks jobs and deployments is a plus.

Additional Skills Required:

• 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