Central Insurance is looking for a Machine Learning Engineer to develop and deploy AI/ML solutions to support business stakeholders, focusing on model training and inference pipelines, and delivering business value through technology designs.
Requirements
- Experience with enterprise Cloud ML Services (i.e., Sagemaker, AzureML, Vertex AI), and open source AI/ML frameworks
- Understanding of the model development lifecycle and has had exposure to DevOps/MLOps/LLMOps/ModelOps
- Strong analytical and problem-solving skills
- Ability to work both independently and in a team environment
- Experience with Python frameworks and data pipelines that integrate AI/ML models with Central’s system and customer-facing applications
- Azure certification or AWS certification
- Exposure in continuous integration & delivery (CI/CD) practices and tools (Git, Jenkins, uDeploy)
Responsibilities
- Develop machine learning workflows and end-to-end pipelines for data preparation, training, deployment, monitoring and ensure that the quality of architecture and designs of machine learning systems based on established policies
- Conducts statistical analysis, including predictive and prescriptive modeling
- Build effective monitoring to monitor the health of your system, and jump in to handle outages of models in production
- Collaborate closely with product teams to lead and own API development, maintaining machine learning infrastructure, and seamlessly integrating machine learning features into products
- Consult with data engineers in the development of data pipelines, packages, and tools that the data science team utilizes as a key stakeholder
- Technical and programmatic support through the entire project life cycle including concept development, system definition, acquisition planning, source selection, system design, development, integration and test, system delivery, and deployment
- Build production-grade solutions to scale, manage, and serve machine learning models and data science solutions
Other
- Master’s degree in computer science, engineering, applied statistics or related field
- Or Bachelor’s degree in computer science, engineering, applied statistics or related field and 2 years experience in machine learning
- Or 4 years experience in machine learning
- Excellent communication skills including written, verbal, and technology diagrams
- Ability to understand Central Insurance’s policies and processes
