Staff Engineer/AI-ML Engineer
Core
Design, develop, and maintain Models as a Service using Generative AI and ML algorithms to drive competitive advantage in insurance and financial services.
Role type
Staff Engineer / AI-ML Engineer
Builds
Production ML models, data pipelines, and orchestration services deployed on AWS and GCP.
Domain
Insurance and Financial Services
Deliverable
production ML models
Required skills
Python, Java, C#, AWS, GCP, SageMaker, Terraform, CloudFormation, Jenkins, GitHub Actions, Apache Airflow, SQL, Hadoop, Spark, Hive, Redshift, Snowflake, BigQuery, Docker, Kubernetes, EC2, MLOps, Generative AI, LLMs, Agentic workflows
Preferred skills
Data Structures and algorithms, ML frameworks (TensorFlow, Anaconda, Scikit Learn), Agile framework
Technologies
AWS, GCP, SageMaker, Streamlit, Jenkins, Terraform, CloudFormation, GitHub Actions, Apache Airflow, Docker, Kubernetes, EC2, TensorFlow, Anaconda, Scikit Learn, Hadoop, Spark, Hive, Redshift, Snowflake, BigQuery
Responsibilities
Research and implement Generative and ML algorithms; assess opportunities for new data sources and analytical techniques; design and maintain Models as a Service; mentor junior engineers and peers; collaborate with Enterprise Data, Data Science, Business, Cloud Enablement, and Enterprise Architecture teams; deliver critical milestones for model deployment in AWS and GCP; adopt and promote MLOps best practices.
Seniority
Staff, hands-on IC with mentorship and thought leadership
