Corebridge Financial · 19 hours ago
Senior Data & ML Engineer, MLOps
Corebridge Financial is a company that partners with financial professionals to enhance people's financial lives. They are seeking a highly skilled Senior Data and ML Engineer focused on MLOps to develop and implement robust Data Engineering and Machine Learning Operations practices, ensuring scalable infrastructure for the machine learning lifecycle.
Financial ServicesInsuranceLife Insurance
Responsibilities
Design and Implement ML Pipelines: Lead the design, Build, and maintenance of end-to-end automated MLops pipelines for continuous testing, training and deployment of ML models
Optimize ML Workloads: Optimize AI/ML workloads and build scalable systems using a variety of AWS services, including Amazon SageMaker (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
Qualification
Required
Bachelor's or Master's degree in Computer Science, Engineering, Data science, or a related technical field
15+ years of IT experience with 10+ years of experience in Data Engineering, ML engineering, or MLOps role
Proven experience using cloud technologies, with significant hands-on experience in AWS Data & AI services and Snowflake Data platform
Strong background and experience in leveraging MLOps platforms (MLflow, Kubeflow, Sagemaker) and ML CI/CD workflows to manage the ML lifecycle
Proficiency in programming languages like Python or PySpark
Strong Hands on experience with Amazon SageMaker for ML and Amazon Bedrock for generative AI solutions
Hands-on experience with ETL/ELT frameworks (e.g., Apache NiFi, Airflow, Talend, dbt, AWS Glue)
Expertise in big data technologies (e.g., Hadoop, Spark, Kafka, Databricks) and Cloud data warehouses (Snowflake, Redshift, BigQuery)
Strong problem-solving abilities and a passion for working with cutting-edge technologies
Excellent communication and collaboration skills to effectively work within a cross-functional team
Benefits
Health and Wellness: We offer a range of medical, dental and vision insurance plans, as well as mental health support and wellness initiatives to promote overall well-being.
Retirement Savings: We offer retirement benefits options, which vary by location. In the U.S., our competitive 401(k) Plan offers a generous dollar-for-dollar Company matching contribution of up to 6% of eligible pay and a Company contribution equal to 3% of eligible pay (subject to annual IRS limits and Plan terms). These Company contributions vest immediately.
Employee Assistance Program: Confidential counseling services and resources are available to all employees.
Matching charitable donations: Corebridge matches donations to tax-exempt organizations 1:1, up to $5,000.
Volunteer Time Off: Employees may use up to 16 volunteer hours annually to support activities that enhance and serve communities where employees live and work.
Paid Time Off: Eligible employees start off with at least 24 Paid Time Off (PTO) days so they can take time off for themselves and their families when they need it.
Company
Corebridge Financial
Corebridge Financial is a providers of retirement solutions and insurance products. It is a sub-organization of AIG.
H1B Sponsorship
Corebridge Financial has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (1)
Funding
Current Stage
Public CompanyTotal Funding
$10.25BKey Investors
Nippon Life Insurance Company of Japan
2025-11-04Post Ipo Secondary· $1B
2025-08-06Post Ipo Secondary· $1B
2024-11-07Post Ipo Secondary· $936M
Leadership Team
Recent News
2026-01-07
2025-12-02
Company data provided by crunchbase