Senior Machine Learning Engineer

Hiscox•Atlanta, GA

11d•$120 - $180•Hybrid

About The Position

You will be a machine learning specialist, part of our US Data Engineering chapter. You will work closely with our data engineers and data scientists to bridge the gap between model development and production deployment. You will be hands-on developing integrations, infrastructure, and deployment pipelines for machine learning models. You should be comfortable reading, questioning, and interpreting machine learning models to ensure they are deployed appropriately and effectively

Requirements

Solid experience as a Python developer , ideally in a machine learning engineering context
Hands-on experience of integrated cloud data science platforms particularly Databricks or GCP
Good understanding of core data science principles and understanding of challenges of migrating research code into production code.
Strong understanding of software engineering best practice .
Experience with infrastructure as code tools like Terraform
Experience with CI/CD tools and Git-based development workflows.
Understanding of API operations monitoring and logging.
Strong problem-solving skills and ability to work independently on technical tasks.
Experience collaborating with technical and non-technical team members in agile Scrum ceremonies – roadmap planning, feature workshops, backlog elaboration, code review.

Nice To Haves

Beyond the required skills we are open to individuals of diverse talents. Experience with additional technologies, real-time data platforms or an insurance background are all valued. We want to know how your unique abilities can contribute to our team.

Responsibilities

Developing and maintaining infrastructure for deploying ML models in both real-time and batch environments.
Building and maintaining endpoints to serve ML models.
Collaborating with cross discipline engineers to integrate ML services into user-facing applications.
Working with platform engineers to align with infrastructure best practices and ensure scalable deployments.
Reviewing pull requests and contributing to code quality across our teams.
Monitoring and maintaining cloud-based ML services, ensuring reliability and performance.
Designing and implementing CI/CD pipelines for ML model deployment.
Writing unit tests and following software engineering principles to ensure code is maintainable.
Contributing to the development and improvement to our model registry, including tracking and implementation of model discontinuation upgrades and model monitoring.

Benefits

Competitive salary and bonus (based on personal & company performance)
401(k) with competitive company matching
Comprehensive health insurance, vision, dental and FSA plans (medical, limited purpose, and dependent care)
Company paid group term life, short- term disability and long-term disability coverage
24 Paid time off days, 2 Hiscox Days, 10 paid holidays, and ability to purchase 5 PTO days
Paid parental leave
4 week paid sabbatical after every 5 years of service
Financial Adoption Assistance and Medical Travel Reimbursement Programs
Annual reimbursement up to $600 for health club membership or fees associated with any fitness program
Company paid subscription to Headspace to support employees’ mental health and wellbeing
Recipient of 2024 Cigna’s Well-Being Award for having a best-in-class health and wellness program
Dynamic, creative and values-driven culture
Modern and open office spaces, complimentary drinks