Design, build, and validate advanced ML and NLP solutions (including LLMs and OCR). Apply statistical methods, feature engineering, and optimization to improve model performance. Collaborate with stakeholders to operationalize insights via Power BI, ensure GDPR compliance, and mentor/lead team members while driving technical design and innovation in generative AI and predictive modeling (churn, lead scoring).
Description and Requirements
Key Responsibilities:
Apply advanced statistical algebra, linear algebra, and optimization techniques to improve model accuracy and performance.
Conduct hypothesis testing, feature engineering, and model validation using rigorous statistical methods.
Develop and implement advanced analytics and machine learning solutions using Python, R, SQL, and leading ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Apply statistical techniques, hypothesis testing, feature engineering, and modeling to deliver robust, data-driven insights and predictive models.
Leverage NLP technologies including spaCy, Transformers, and OCR to build intelligent text-processing and language-understanding solutions.
Drive innovation in Generative AI through the use of large language models and prompt engineering to create cutting-edge applications.
Ensure clear communication and structured problem-solving, translating complex technical concepts into compelling narratives for stakeholders.
Engage and influence business partners and stakeholders, providing actionable insights and fostering collaboration across teams.
Lead and develop talent, promoting engagement and growth within the team to build high-performing analytics and AI capabilities.
Develop predictive models for churn prediction, and lead scoring aligned with workflows.
Collaborate on Power BI dashboards to operationalize insights for business stakeholders.
Ensure adherence to GDPR and Regional Data policies for all ML workflows.
Mentor junior team members and lead technical design discussions.
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
Key Responsibilities:
Apply advanced statistical algebra, linear algebra, and optimization techniques to improve model accuracy and performance.
Conduct hypothesis testing, feature engineering, and model validation using rigorous statistical methods.
Develop and implement advanced analytics and machine learning solutions using Python, R, SQL, and leading ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Apply statistical techniques, hypothesis testing, feature engineering, and modeling to deliver robust, data-driven insights and predictive models.
Leverage NLP technologies including spaCy, Transformers, and OCR to build intelligent text-processing and language-understanding solutions.
Drive innovation in Generative AI through the use of large language models and prompt engineering to create cutting-edge applications.
Ensure clear communication and structured problem-solving, translating complex technical concepts into compelling narratives for stakeholders.
Engage and influence business partners and stakeholders, providing actionable insights and fostering collaboration across teams.
Lead and develop talent, promoting engagement and growth within the team to build high-performing analytics and AI capabilities.
Develop predictive models for churn prediction, and lead scoring aligned with workflows.
Collaborate on Power BI dashboards to operationalize insights for business stakeholders.
Ensure adherence to GDPR and Regional Data policies for all ML workflows.
Mentor junior team members and lead technical design discussions.
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
Top Skills
Generative Ai
Large Language Models
Ocr
Power BI
Prompt Engineering
Python
PyTorch
R
Scikit-Learn
Spacy
SQL
TensorFlow
Transformers
Similar Jobs at MetLife
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Lead the design and development of Identity Governance and Administration processes using SailPoint IIQ, including deploying activities, rule development, and system integration. Responsible for maintenance and improvement of IAM systems with hands-on expertise required.
Top Skills:
AdBambooBean-ShellBitbucketJIRALdapMS OfficeSailpoint Identityiq
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The Assistant Manager - Operations supports US Pension products and is responsible for reporting, analysis, and maintaining internal controls, requiring strong accounting knowledge.
Top Skills:
ExcelMS Office
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Lead strategic planning and execution of Third-Party Risk Management operations across U.S. and Asia. Manage stakeholder relations, address performance gaps, drive continuous improvement, and implement changes to enhance TPRM adoption.
Top Skills:
Performance ManagementProcurement OperationsTprm
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
