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Chubb is looking for an&nbsp;ML/ML Ops Engineer&nbsp;to join our team.&nbsp;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.&nbsp;Responsibilities:<ul><li>Deliver AI/ML models to production by following high-standard ML Ops processes, including Continuous Integration and Continuous Delivery (CI/CD) practices.&nbsp;</li><li>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.&nbsp;</li><li>Develop ML/AI models to support data collection, ingestion, and migration efforts, ensuring integration with existing infrastructures.&nbsp;</li><li>Develop new or leverage/tune existing AI models, with a particular emphasis on transformer architectures and LLMs.&nbsp;</li><li>Evaluate and rank various ML algorithms and methods—including retrieval-augmented generation (RAG) techniques.&nbsp;</li></ul>Qualifications<ul><li>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.&nbsp;</li><li>At least 3 years of experience as a Machine Learning Engineer or in a similar role.&nbsp;</li><li>Experience working on cloud platforms such as Azure (preferably), AWS, or GCP.&nbsp;</li><li>Familiarity with container orchestration technologies like Kubernetes (k8s), Docker and CI/CD practices.&nbsp;</li><li>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.).&nbsp;</li><li>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.&nbsp;</li><li>Deep knowledge of mathematics, probability, statistics, and algorithms, with a focus on supervised and unsupervised learning methods.&nbsp;</li><li>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.&nbsp;</li><li>Familiarity with business processes, preferably within the insurance industry.&nbsp;</li><li>Confident in decision-making, with the ability to articulate processes or choices as needed.&nbsp;</li><li>Strong motivation and a proactive approach to problem-solving.&nbsp;</li><li>Excellent communication and interpersonal skills, enabling effective teamwork and collaboration.&nbsp;</li><li>Flexibility and willingness to travel as needed.&nbsp;</li><li>Fluency in English; additional languages a plus.&nbsp;</li></ul>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. TeamworkOur 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 &amp; InclusionAt 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!

ML Ops Engineer

We are in search of a highly skilled Lead Data Engineer to join our Data Engineering team, In this pivotal role, you will drive the design and implementation of innovative data Engineering patterns and Frameworks and engineering practices that support business objectives and enhance data utilization across the enterprise. Your expertise will be essential in ensuring that our data foundation is robust, scalable, and aligned with industry best practices.Responsibilities:&nbsp;<ul><li>Lead the design and development of comprehensive data engineering frameworks and patterns.</li><li>Establish engineering design standards and guidelines for the creation, usage, and maintenance of data across COG (Chubb overseas general)</li><li>Derive innovation and build highly scalable real-time data pipelines and data platforms to support the business needs.</li><li>Act as mentor and lead for the data engineering organization that is business-focused, proactive, and resilient.</li><li>Promote data governance and master/reference data management as a strategic discipline.</li><li>Implement strategies to monitor the effectiveness of data management.</li><li>Be an engineering leader and coach data engineers and be an active member of the data leadership team.</li><li>Evaluate emerging data technologies and determine their business benefits and impact on the future-state data platform.</li><li>Develop and promote a strong data management framework, emphasizing data quality, governance, and compliance with regulatory requirements</li><li>Collaborate with Data Modelers to create data models (conceptual, logical, and physical)&nbsp;</li><li>Architect meta-data management processes to ensure data lineage, data definitions, and ownership are well-documented and understood</li><li>Collaborate closely with business leaders, IT teams, and external partners to understand data requirements and ensure alignment with strategic goals</li><li>Act as a primary point of contact for data engineering discussions and inquiries from various stakeholders</li><li>Lead the implementation of data architectures on cloud platforms (AWS, Azure, Google Cloud) to improve efficiency and scalability</li></ul>Qualifications<ul><li>Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field; Master’s degree preferred</li><li>Minimum of 10 years’ experience in data architecture or data engineering roles, with a significant focus in P&amp;C insurance domains preferred.</li><li>Proven track record of successful implementation of data architecture within large-scale transformation programs or projects</li><li>Comprehensive knowledge of data modelling techniques and methodologies, including data normalization and denormalization practices</li><li>Hands on expertise across a wide variety of database (Azure SQL, MongoDB, Cosmos), data transformation (Informatica IICS, Databricks), change data capture and data streaming (Apache Kafka, Apache Flink) technologies</li><li>Proven Expertise with data warehousing concepts, ETL processes, and data integration tools (e.g., Informatica, Databricks, Talend, Apache Nifi)</li><li>Experience with cloud-based data architectures and platforms (e.g., AWS Redshift, Google BigQuery, Snowflake, Azure SQL Database)</li><li>Expertise in ensuring data security patterns (e.g. tokenization, encryption, obfuscation)</li><li>Knowledge of insurance policy operations, regulations, and compliance frameworks specific to Consumer lines</li><li>Familiarity with Agile methodologies and experience working in Agile project environments</li><li>Understanding of advanced analytics, AI, and machine learning concepts as they pertain to data architecture</li></ul>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, long term equity incentives, private medical cover, monthly allowance for lunch, generous personal time off, continuous learning experiences, and 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 &amp; 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!

Lead Data Engineer

Chubb is seeking a talented and experienced individual to act as&nbsp;CECG&nbsp;Head of Data Engineering.&nbsp;This is a rare opportunity to apply your leadership and engineering expertise to a subject you love: Data! We are looking for someone to lead and grow a talented team of data engineering professionals. This candidate will develop people, form strong working partnerships with business and technology leaders, plan and execute data engineering programs, and formulate data and analytics strategies for solving business problems.Responsibilities<ul><li>Develop the vision of the insurance data fabric by defining measurable/actionable objectives and key results for the data engineering chapter to derive transformation of the data ecosystems.</li><li>Derive innovation and build highly scalable real-time data pipelines and data platforms to support the business needs.</li><li>Build a data engineering organization that is business-focused, proactive, and resilient.</li><li>Attract, hire, and retain top engineering talent, creating an engineering culture that fosters innovation and collaboration.</li><li>Promote data governance and master/reference data management as a strategic discipline.</li><li>Implement strategies to monitor the effectiveness of data management.</li><li>Drive mediatization of the data capabilities that anticipate changes in the strategic business imperatives.</li><li>Be an inspiring engineering leader, mentor, and coach data engineers and be an active member of the data leadership team.</li><li>Evaluate emerging data technologies and determine their business benefits and impact on the future-state data platform.</li></ul>Qualifications<ul><li>BSc or MSc in Computer Science or any other relevant field.</li><li>10+ years of relevant working experience ideally in a multinational environment.</li><li>5+ years of proven experience in a data engineering leadership role.</li><li>In-depth experience in designing and implementing enterprise-wide cloud data and analytics platforms.</li><li>Hands-on architecture and delivery experience in large-scale, cloud data management solutions.</li><li>Data technology literate with a detailed understanding of modern data architectures and data analytics platforms.</li><li>Presentation, facilitation, and design-thinking skills.</li><li>Knowledge of relational/object modeling, knowledge/graph modeling techniques.</li><li>Understanding of metamodels, taxonomies, and ontologies.</li><li>Ability to assess rapidly changing technologies and apply them to business needs.</li><li>Experience in a multinational insurance/financial service provider will be considered as an asset.</li></ul>&nbsp;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, long term equity incentives, private medical cover, monthly allowance for lunch, generous personal time off, continuous learning experiences, and 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 &amp; 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!

Head of Data Engineering

We are looking for an experienced and motivated Data Engineer to join our dynamic team. In this role,&nbsp;The role primarily focuses on support of MDM and associated ETL and real-time feeds monitoring and&nbsp;support. This engineer will be part of the global L1/L2 production support team , which is split between Chubb Engineering Centers in India and Mexico. Key responsibilities will include monitoring ETL processes, handling automated issues, and ensuring compliance with security policies. A good understanding of MDM Informatica and Data Factory is preferredThe ideal candidate will have experience with Powercenter, MDM, Azure Data Factory, be able to identify and resolve data quality issues, proactively monitor production systems, performance bottlenecks, and other ETL-related problems.Responsibilities:<ul><li>Monitor ETL jobs including Powercenter/IICS, kafka based near real-time updates, batch processes.&nbsp;</li><li>Troubleshoot production incidents&nbsp;</li><li>Monitor and troubleshoot Java and .net APIs issues</li><li>Understands data mapping and data modeling methodologies including normal form, star, and snowflake to reduce data redundancy and improve data integrity.</li></ul> Qualifications<ul><li>4 Year/bachelor’s degree or equivalent work experience (4 years of experience in lieu of Bachelors)_</li><li>At least 5+ years of understanding of ETL development concepts and tools such as ETL development solutions (e.g. Powercenter and/or IICS, Informatica MDM, Azure Data Factory)</li><li>Experience with Data Warehousing and Business Intelligence concepts and technologies</li><li>Knowledge of SQL and advanced programming languages such as Python</li><li>Past experience in the ability to identify and resolve data quality issues, performance bottlenecks, and other ETL-related problems</li><li>Experience with Agile methodologies and project-management skills</li><li>Excellent communication and interpersonal skills</li><li>2+ years of experience in scheduling jobs using Autosys (or comparable distributed scheduler)</li><li>3+ years of experience writing Unix/Linux or Windows Scripts in tools such as PERL, Shell script, Python, etc.</li></ul>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.

Data Engineer

By joining Chubb as a Senior Data Engineer, acting as a Production Support Lead for our North America enterprise data warehouse, you'll be responsible for&nbsp;ensuring the data warehouse operates smoothly and reliably, including incident management, performance optimization, and collaborating with other teams to maintain data quality and system stability.&nbsp;Our data warehouse platform is a strategic application within the business, feeding into multiple systems and applications both up and downstream with data that directly supports business decisions being made each and every day. With us, you’ll leverage your technical expertise to tactically and strategically handle data discrepancies, and partner with applications teams, IT teams across the business, our stakeholders, and our Data Architect to drive solutions that directly impacts how data is used throughout the business. You’ll have opportunities to build upon your technical skills and insurance knowledge as we continue the evolution of our data warehouse and related infrastructure. Through it all, we’ll also look to you to share your ideas and manage data related projects end to end that influence how we incorporate, validate, and distribute data enterprise-wide.&nbsp;Responsibilities Include:<ul><li>Lead the process of identifying, prioritizing, and resolving production issues, ensuring minimal disruption to business operations.&nbsp;</li><li>Investigate and identify the root causes of incidents to prevent recurrence.&nbsp;</li><li>Maintain clear and timely communication with stakeholders, including business users, IT teams, and management, throughout the incident lifecycle.&nbsp;</li><li>Continuously monitor the data warehouse's performance, identifying bottlenecks and areas for improvement.&nbsp;</li><li>Implement performance tuning techniques to optimize query execution times, ETL processes, and overall system performance.&nbsp;</li><li>Collaborate with other teams to ensure the data warehouse has sufficient resources to meet current and future demands.&nbsp;</li><li>Implement and maintain data validation processes to ensure the accuracy and integrity of data in the data warehouse.&nbsp;</li><li>Address data quality issues, including data cleansing and transformation, to ensure data accuracy and consistency.&nbsp;</li><li>Participate in the planning and execution of data warehouse releases, ensuring minimal disruption to production operations.&nbsp;</li><li>Test new releases and changes to the data warehouse environment to ensure stability and functionality.&nbsp;</li><li>Build and maintain strong relationships with business users, IT teams, and other stakeholders.&nbsp;</li><li>Maintain comprehensive documentation of the data warehouse architecture, processes, and procedures.&nbsp;</li><li>Possess a strong understanding of data warehouse technologies, ETL processes, and database management systems.&nbsp;</li><li>Demonstrate strong analytical and problem-solving skills to effectively address technical issues and challenges.&nbsp;</li><li>Lead and mentor team members, providing guidance and support as needed.&nbsp;</li></ul> Qualifications<ul><li>Bachelor’s degree required in Computer Science, Computer Information Systems, Information Systems, Information Technology or Computer Engineering or equivalent work experience</li><li>8+ years of Strong understanding of ETL development concepts and tools such as ETL development solutions (Informatica/IICS)&nbsp;</li><li>5+ years of Experience with Data Warehousing and Cloud Technologies like Azure (Synapse, Data bricks, Snowflake ).</li><li>3+ years of experience in scheduling jobs using Autosys (or comparable distributed scheduler)</li><li>3+ years of experience writing Unix/Linux or Windows Scripts in tools such as PERL, Shell script, Python, etc.</li><li>3+ years of experience in creating complex technical specifications from business requirements/specifications. Demonstrated critical thinking skills and the ability to identify and resolve data quality issues, performance bottlenecks, and other ETL-related problems</li><li>Excellent communication and interpersonal skills</li><li>Experience leading a team and providing technical guidance to junior data engineers</li></ul>

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