1st Central · 1 month ago
Senior Machine Learning Operations Engineer
United States
Full-time
Remote
Senior Level1st Central is a market-leading insurance company utilising smart data and technology. They are seeking an experienced Senior Machine Learning Operations Engineer to join their Data Function, where the role involves designing and implementing machine learning model engineering frameworks and collaborating with various teams to ensure efficient operation of Data Science models.
Financial ServicesInsurance
Responsibilities
You’ll contribute to the design and implementation of Machine Learning Engineering standards and frameworks
You’ll support model development, with an emphasis on auditability, versioning, and data security
You’ll implement automated data science model testing and validation
You’ll assist in the optimisation of deployed ML model scoring code in production services
You’ll assist in the design and implementation of data pipelines and engineering infrastructure to embed scaled machine learning solutions
You’ll use CI/CD pipelines, manage the deployment and version management of large numbers of data science models (Azure DevOps)
You’ll support the implementation of Machine Learning Ops on cloud (Azure & Azure ML. Experience with Databricks is advantageous.)
You’ll protect against model degradation and operational performance issues through the development and continual automated monitoring of model execution and model quality
You’ll manage automatic model retraining within a production environment
You’ll engage in group discussions on system design and architecture, sharing knowledge with the wider engineering community
You’ll collaborate closely with data scientists, data engineers, architects, and the software development team
You’ll liaise with stakeholders across the business to ensure ML is being used to improve strategic business decisions and identify new areas for improvements
You’ll adhere to the Group Code of Conduct and Fitness and Propriety policies, Company Policies, Values, guidelines, and other relevant standards/ regulations at all times
Qualification
Required
Comprehensive knowledge of Databricks, PySpark, Microsoft Azure (Azure ML, Azure Stream Analytics, Cognitive Services, Event Hubs, Synapse, Data Factory)
Fluency in Python and modelling frameworks such as PyTorch and TensorFlow
Skilled in deploying and managing Machine Learning Models within a production environment
Excellent problem-solving and analytical skills, with the ability to diagnose and troubleshoot problems quickly
Strong time management and organisational abilities, experience working to tight deadlines
Excellent communication skills, both verbal and written, ability to collaborate effectively with cross-functional teams
Experience in developing and maintaining production ML systems, including automatic model retraining and monitoring of production models
Deploying Infrastructure as Code (IAC) across various environments such as dev, uat and prod
Handling large volumes of data in various stages of the data pipeline, from ingestion to processing
Proven experience with feature stores, using them for both offline model development and online production usage
Building integrations between cloud-based systems using APIs, specifically within the Azure environment
Practical knowledge of agile methodologies applied in a data science and machine learning environment
Designing, implementing, and maintaining data software development lifecycles, with a focus on continuous integration and deployment (CI/CD)
Demonstratable expertise in machine learning methodology, best practices, and frameworks
Understanding of microservices architecture, RESTful API design, development, and integration
Basic understanding of networking concepts within Azure
Strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory)
Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc
Skilled in application of MLOps frameworks within a production environment
Excellent communication skills, both verbal and written
Strong time management and organisation skills
Ability to diagnose and troubleshoot problems quickly
Excellent problem-solving and analytic skills
Embrace, embed and incorporate the company values
Self-motivated and enthusiastic
An organised and proactive approach
Strong stakeholder management
Ability to work on own initiative and as part of a team
A flexible approach and positive attitude
Strives to drive business improvements to contribute to the success of the business
Preferred
Experience within financial/insurance services industry is advantageous
Familiarity with Docker and Kubernetes is advantageous
Experience with AzureML and Databricks is advantageous
Benefits
Extraordinary working environment
Energetic, inspirational, supportive workplaces
Company
1st Central
1st CENTRAL offer a 5 Star Defaqto rated car insurance product.
Founded in 2008Haywards Heath, West Sussex, GBR
1001-5000 employees
Funding
Current Stage
Late StageCompany data provided by crunchbase