Model Management Lead

Model Management Lead

Who we are

Corebridge Financial helps people make some of the most meaningful decisions they’re ever going to make. We help them plan and take action to protect the future they envision, and respond to some of life’s most difficult moments through the solutions and services we provide. We do this through our broad portfolio of life insurance, retirement and institutional products, offered through an extensive, multichannel distribution network. We provide solutions for a brighter future through our client centered service, breadth of product expertise, deep distribution relationships, and outstanding team of hardworking and passionate employees.

Get to know the business

Life and Retirement is a unique franchise that brings together a broad portfolio of life insurance, retirement and institutional products offered through an extensive, multichannel distribution network. It holds longstanding, leading market positions in many of the markets it serves in the U.S.

Overview of Position

We are seeking a Model Management Lead to join our Advanced Analytics Center of Excellence team. This role combines DataOps to deliver high quality data for modeling, MLOps to streamline the ML/AI model life cycle, and DevOps to develop lightweight prototype applications to deliver the model outputs.

Responsibilities

• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements
• Design and construct pipelines for analytics data products; implement monitoring for pipeline, data quality and address issues
• Collaborate with data scientists to transition models from development to production
• Design and implement ML/AI model deployment pipelines ensuring reproducibility, scalability, and operational excellence
• Develop and maintain monitoring systems for model performance, data drift, and system health
• Automate model retraining, A/B testing, and deployment processes using CI/CD practices
• Optimize model serving infrastructure for latency, throughput, and resource utilization
• Implement model governance practices including versioning, metadata tracking, and audit trails
• Design and implement model testing frameworks and validation procedures
• Create and maintain documentation for MLOps processes and infrastructure
• Troubleshoot production issues and implement preventive measures
• Develop prototype applications that deliver model outputs to end users; collaborate with application team for full production scale up.
• Perform code reviews and provide constructive feedback to other developers
• Research and recommend new technologies and frameworks
• Mentor junior team members and participate in knowledge sharing

What you need to know

• Bachelor's degree in Computer Science, Engineering, or related field
• 3+ years of experience in software engineering or DevOps
• Strong programming skills in Python and familiarity with ML frameworks (PyTorch, TensorFlow)
• Strong SQL knowledge and experience with relational databases
• Understanding of ML lifecycle management and MLOps principles
• Familiarity with feature stores and ML metadata management
• Experience with cloud platforms (AWS)
• Proficiency in version control systems (Git) and collaborative development
• Knowledge of CI/CD tools (Jenkins)
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Experience of data warehousing solutions (Snowflake)
• Experience with application frameworks (Streamlit, Django, RShiny)

Preferred Qualifications

• Master's degree in Computer Science, Machine Learning, or related field
• Experience with ML model serving frameworks (TensorFlow Serving, Triton)
• Knowledge of ML experiment tracking tools (MLflow)
• Knowledge of monitoring tools (Prometheus, Grafana) and logging systems (Splunk)
• Experience with distributed systems and microservices architecture
• Knowledge of streaming data processing (Kafka)
• Experience with NoSQL databases (MongoDB, Cassandra)
• Understanding of data governance, data privacy and security best practices
• Experience with web technologies (HTML5, CSS3, JavaScript, REST APIs)

Required Skills

• Strong analytical and problem-solving abilities
• Excellent communication and documentation skills
• Ability to work collaboratively in cross-functional teams
• Strong focus on automation and operational efficiency
• Strong project management and organizational skills
• Experienc