MetLife

Lead Data Scientist role focused on creating and deploying ML/AI solutions for marketing and business engagement within a regulated enterprise environment. Responsibilities include technical leadership, model development, platform integration, and team management, with a strong emphasis on production stability and compliance.

Associate Data Scientist at MetLife in Hyderabad, India, responsible for designing, building, validating, and deploying production-grade rule-based and machine learning models. The role involves exploratory data analysis, feature engineering, monitoring model performance, and ensuring compliance with AI guidelines. Requires experience with Python, ML frameworks, and NLP, with Generative AI and prompt engineering being key areas. This is an individual contributor role focused on delivering data and analytics solutions within the financial services domain.

Technical Manager & AI Deputy role at MetLife Colombia, responsible for engineering excellence, technical governance, and delivery of scalable, secure, and AI-enabled solutions. Focuses on leading software development teams, ensuring alignment with business strategy, architecture, and emerging AI capabilities in a regulated environment. Key accountabilities include leading AI/automation programs, ensuring AI compliance, driving adoption of AI platforms, and fostering AI communities of practice.

Senior Data Scientist role focused on designing, building, validating, and deploying production-grade rule-based and machine learning models, including Generative AI and LLMs. The role involves exploratory data analysis, feature engineering, model monitoring, and ensuring compliance with AI guidelines. It also includes mentoring junior data scientists and leading design and solutioning.

Senior AI Engineer responsible for developing and managing scalable enterprise AI capabilities, designing and training ML/DL models, integrating AI into business applications, and maintaining CI/CD pipelines for ML models. The role involves working with GenAI, RAG, LLMs, and cloud platforms.

Sr Principal Enterprise Data Architect responsible for shaping, governing, and advancing the enterprise data architecture strategy, with a strong focus on enabling analytics, AI, and emerging intelligent capabilities. This role guides the architectural design and validation of AI enabled solutions, including analytics accelerators, intelligent assistants, and data driven platforms, and supports the transition of successful pilots into production.

This role focuses on driving the adoption and measuring the impact of enterprise AI productivity tools within MetLife. The engineer will lead adoption reporting and analytics, manage AI platform licenses, collaborate on training content, oversee the enterprise AI community, and build a knowledge base. The goal is to foster a cultural shift towards AI-powered work across the organization.

This role is for a Lead Auditor focused on Data & AI within MetLife's Global Internal Audit organization. The primary responsibility is to deliver independent assurance over data and AI initiatives, ensuring responsible, ethical, and effective use of these capabilities. The role involves supporting risk assessments, leading audits, identifying issues, recommending improvements, and staying updated on data and AI trends, technologies, and regulations. The goal is to modernize audit techniques and influence governance in the context of emerging technology.

This internship focuses on supporting the delivery of AI-enabled solutions at MetLife UK, including agentic AI and workflow automation, and the underlying enterprise IT infrastructure. The role involves hands-on experience with production solutions, working alongside experienced IT, data, and business colleagues, and learning about responsible AI application in a regulated insurance environment.

This role focuses on modernizing enterprise platforms through DevOps, data, and AI-enabled solutions. The Senior Platform Engineer will drive technology lifecycle modernization, create automated CI/CD pipelines, infrastructure-as-code, and integrate AI-enabled capabilities. They will also develop standards and provide technical guidance to engineering teams, ensuring platforms remain current, secure, and scalable within a regulated financial services environment.

This role is for a Principal Release Train Engineer at MetLife, focused on leading delivery coordination and portfolio operations for a new AI product operating model. The role involves tracking dependencies, managing risks, leading a team of Scrum Leads and Portfolio Operations Specialists, and partnering with Product Management to align delivery with roadmap priorities. It requires extensive experience in Agile program management and coordinating complex, multi-platform environments.