Senior Data & ML Engineer, MLOps

Who We Are    At Corebridge Financial, we believe action is everything. That’s why every day we partner with financial professionals and institutions to make it possible for more people to take action in their financial lives, for today and tomorrow.
We align to a set of Values that are the core pillars that define our culture and help bring our brand purpose to life:
* We are stronger as one:
We collaborate across the enterprise, scale what works and act   decisively for our customers and partners.
* We deliver on commitments:
We are accountable, empower each other and go above and beyond for our stakeholders.
* We learn, improve and innovate:
We get better each day by challenging the status quo and equipping ourselves for the future.
* We are inclusive:
We embrace different perspectives, enabling our colleagues to make an impact and bring their whole selves to work.
** Who We Are
** At Corebridge Financial, we believe action is everything. That’s why every day we partner with financial professionals and institutions to make it possible for more people to take action in their financial lives, for today and tomorrow.

We align to a set of Values that are the core pillars that define our culture and help bring our brand purpose to life:
* We are stronger as one:
We collaborate across the enterprise, scale what works and act decisively for our customers and partners
* We deliver on commitments:
We are accountable, empower each other and go above and beyond for our stakeholders
* We learn, improve and innovate:
We get better each day by challenging the status quo and equipping ourselves for the future
* We are inclusive:
We embrace different perspectives, enabling our colleagues to make an impact and bring their whole selves to work
** Who You’ll Work With
** The Information Technology organization is the technological foundation of our business and works in collaboration with our partners from across the company. The team drives technology and digital transformation, partners with business leaders to design and execute new strategies through IT and operations services and ensures the necessary IT risk management and security measures are in place and aligned with enterprise architecture standards and principles.
** About

The Role
** We areseekinga highly skilled and motivated Senior Data and ML Engineer with a strong focus onMLOpsto join ourData Platform Engineering  team, focusing on developing and implementing robust

Data Engineering and Machine  Learning Operations (MLOps) practices. In this role, you will play a critical part in designing, building, andmaintainingscalable and reliable infrastructure for the entire

Machine learning and GenAIlifecycle, from experimentation to production deployment and monitoring. You will work with cutting-edgecloud technologies, specificallyleveragingthe power ofAWS Sage Maker, Amazon Bedrock, and Snowflake Data Platform to  drive innovation in the financial services sector.
** Responsibilities**
* ** Design and Implement ML Pipelines:
** Lead the design,Build, and maintenance of end-to-end automated

MLopspipelinesfor continuous testing, traininganddeploymentof ML models.
* ** Optimize

ML Workloads:
** Optimize

AI/ML workloads and build scalable systems using a variety of AWS services, including

Amazon Sage Maker(for model development, training, and deployment),Amazon Bedrock(for integrating generative AI and large language models), S3, Lambda, and others.
* ** Manage Data Integration:
** Collaborate with data scientists and data engineers to design and implement ETL/ELT processes to structure and format data into suitable data warehouses or data lakes for analysis and model training.
* ** Monitoring and Maintenance:
** Implement comprehensive monitoring, logging, and alerting for production

AI/ML systems to track performance, resource utilization,error rates, and troubleshoot issues as they arise.
* ** Collaboration & Governance:
** Work closely with cross-functional teams, including data scientists,Data engineers, and business analysts, to translate business requirements into technical solutions. Ensure adherence to data governance, security, and compliance principles.
** Skills and…