Senior Platform Engineer, Machine Learning
Fieldguide188,000 - 213,500 USD/year
- Full Time
- Senior (5 to 8 years), Mid-level (3 to 4 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Software DevelopmentIndustries
Requirements
Candidates should possess a Bachelor’s degree in Computer Science or a related field, and have at least 7 years of experience in software engineering, with a strong focus on distributed systems and cloud computing. Experience with machine learning platforms and MLOps practices is highly desirable. Familiarity with GPU/TPU environments and data processing frameworks like MapReduce is expected. Strong understanding of REST and gRPC API development is required, along with experience in implementing monitoring systems such as Prometheus and Grafana.
Responsibilities
As a Staff Software Engineer - ML Platform, you will be responsible for designing, building, and launching scalable ML and data processing systems, automating model lifecycle management, introducing modern frameworks for model monitoring and continuous retraining, leading the deployment of models through APIs, researching and implementing the latest MLOps tools, implementing and managing monitoring systems, applying best practices in secure data handling and model integrity, and sharing MLOps knowledge within the organization.
Skills
REST
gRPC
Prometheus
Grafana
MapReduce
Machine Learning
MLOps
Distributed Systems
Cloud Computing
Data Processing
API Development
Monitoring Systems
Secure Data Handling
EvolutionIQ
AI software for insurance claims handling
About EvolutionIQ
EvolutionIQ creates software for the insurance industry that enhances the claims handling process using artificial intelligence. The software helps insurance examiners and adjusters identify the right claims to focus on, improving efficiency and accuracy. By understanding bodily injuries like a medical expert, it quickly assigns complex claims to specialized teams, leading to faster processing and better outcomes for claimants. The goal of EvolutionIQ is to streamline claims handling, ultimately increasing the number of successful returns to work for claimants.
Key Metrics
New York City, New YorkHeadquarters
2019Year Founded
$58.7MTotal Funding
LATE_VCCompany Stage
Enterprise Software, AI & Machine Learning, Financial ServicesIndustries
201-500Employees