The Senior AI Engineer II designs and develops scalable AI capabilities, optimizes ML models for business use cases, and leads data analytics talent within a collaborative environment.
Description and Requirements
MGCC GG 11.2- Senior AI Engineer II
Position Title:
MGCC GG 11.2- Senior AI Engineer II
Function, Responsibility Level:
Reports to (Responsibility Level): GG 12 or above
Supervises:
GG 10.1 - AI Engineer I
GG 10.2 - AI Engineer II
GG 11.1 - Senior AI
Location: Hyderabad
Global Grade: 11
Cost Center (85 series):
Complexity: OSTG
PID/s Load Mapping:
Position Summary
MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science
Role Value Proposition:
AI Engineer plays a critical role in data and analytics life cycle and significantly contributes to production grade data and analytics solutions. The role requires one to demonstrate architecting, designing, and implementing the core AI and machine learning (ML) infrastructure that underpins our next-generation business applications. Besides contributing in individual capacity to solve wide ranging business problems, this role also leads and develops Data and Analytics talent
Job Responsibilities
• Design , Develop and manage scalable enterprise AI capabilities that support the AI platform.• Design, train, and optimize machine learning and deep learning models for a variety of business use cases (e.g., SLM, computer vision, predictive analytics, recommendation systems).• Enable seamless integration of AI capabilities into business applications and workflows through APIs, SDKs, and microservices.• Collaborate with multiple partners from Business,Technology, Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI & insights)• Develop and maintain CI/CD pipelines for ML models, ensuring automated testing, versioning, deployment, and monitoring in production environments.• Documentation & Knowledge Sharing: Produce clear technical documentation and participate in knowledge sharing to mentor team members and enable • Independently lead design, solutioning & estimations• Provide people leadership: coach, develop and engage talent
Knowledge, Skills and Abilities
Education
Bachelor's degree in computer science, information technology or equivalent educational qualification
Technical Skills and Experience
• 10-12+ years of relevant experience
• Python • Statistics, hypothesis testing, Feature engineering, Modeling• Machine learning frameworks: SCikit-learn, Tensorflow, Pytorch, • Natural language processing (NLP): spacy, Transformers, OCR• Gen AI: Developing, and deploying Generative AI (GenAI) solutions using large language models (LLMs) • Expertise with Retrieval-Augmented Generation (RAG),architectures, including integrating external data sources and vector databases to enhance LLM outputs.• Cloud platforms ( Azure), containerization (Docker, Kubernetes), and orchestration tools• Communication skills, analytical skills, structured problem-solving skills., • Storytelling skills ,Partner & Stakeholder engagement experience• People leadership: talent development & engagement experience
Good to Have (Preferred)
• Azure ML or cloud AI/ML Services• Banking Financial Services and Insurance domain knowledge• Stay abreast of the latest trends and advancements in AI, ML, and platform engineering. Evaluate and prototype emerging technologies for inclusion in the enterprise platform.• Advocate for security, privacy, ethical, and compliance best practices throughout the AI/ML platform and model development lifecycle.• Optimize platform components for efficiency, scalability, and reliability using best practices in distributed computing, resource management, and cloud-native architectures.
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
MGCC GG 11.2- Senior AI Engineer II
Position Title:
MGCC GG 11.2- Senior AI Engineer II
Function, Responsibility Level:
Reports to (Responsibility Level): GG 12 or above
Supervises:
GG 10.1 - AI Engineer I
GG 10.2 - AI Engineer II
GG 11.1 - Senior AI
Location: Hyderabad
Global Grade: 11
Cost Center (85 series):
Complexity: OSTG
PID/s Load Mapping:
Position Summary
MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science
Role Value Proposition:
AI Engineer plays a critical role in data and analytics life cycle and significantly contributes to production grade data and analytics solutions. The role requires one to demonstrate architecting, designing, and implementing the core AI and machine learning (ML) infrastructure that underpins our next-generation business applications. Besides contributing in individual capacity to solve wide ranging business problems, this role also leads and develops Data and Analytics talent
Job Responsibilities
• Design , Develop and manage scalable enterprise AI capabilities that support the AI platform.• Design, train, and optimize machine learning and deep learning models for a variety of business use cases (e.g., SLM, computer vision, predictive analytics, recommendation systems).• Enable seamless integration of AI capabilities into business applications and workflows through APIs, SDKs, and microservices.• Collaborate with multiple partners from Business,Technology, Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI & insights)• Develop and maintain CI/CD pipelines for ML models, ensuring automated testing, versioning, deployment, and monitoring in production environments.• Documentation & Knowledge Sharing: Produce clear technical documentation and participate in knowledge sharing to mentor team members and enable • Independently lead design, solutioning & estimations• Provide people leadership: coach, develop and engage talent
Knowledge, Skills and Abilities
Education
Bachelor's degree in computer science, information technology or equivalent educational qualification
Technical Skills and Experience
• 10-12+ years of relevant experience
• Python • Statistics, hypothesis testing, Feature engineering, Modeling• Machine learning frameworks: SCikit-learn, Tensorflow, Pytorch, • Natural language processing (NLP): spacy, Transformers, OCR• Gen AI: Developing, and deploying Generative AI (GenAI) solutions using large language models (LLMs) • Expertise with Retrieval-Augmented Generation (RAG),architectures, including integrating external data sources and vector databases to enhance LLM outputs.• Cloud platforms ( Azure), containerization (Docker, Kubernetes), and orchestration tools• Communication skills, analytical skills, structured problem-solving skills., • Storytelling skills ,Partner & Stakeholder engagement experience• People leadership: talent development & engagement experience
Good to Have (Preferred)
• Azure ML or cloud AI/ML Services• Banking Financial Services and Insurance domain knowledge• Stay abreast of the latest trends and advancements in AI, ML, and platform engineering. Evaluate and prototype emerging technologies for inclusion in the enterprise platform.• Advocate for security, privacy, ethical, and compliance best practices throughout the AI/ML platform and model development lifecycle.• Optimize platform components for efficiency, scalability, and reliability using best practices in distributed computing, resource management, and cloud-native architectures.
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
Azure
Docker
Kubernetes
Ocr
Python
PyTorch
Scikit-Learn
Spacy
TensorFlow
Transformers
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