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
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Insurance Technology, Artificial Intelligence, AI & Machine LearningIndustries
Requirements
Candidates should possess a Bachelor’s degree in Computer Science or a related field, along with a minimum of 7 years of experience in software engineering, with at least 3 years specifically focused on building and deploying machine learning platforms. Strong experience with cloud platforms such as AWS, GCP, or Azure is required, and familiarity with containerization technologies like Docker and Kubernetes is essential. Experience with MLOps tools and practices is also necessary.
Responsibilities
As a Staff Software Engineer, ML Platform & AI Labs, you will design, build, and launch scalable machine learning and data processing systems, automate model lifecycle management, introduce modern frameworks for model monitoring and retraining, lead the deployment of models through APIs, research and implement the latest MLOps tools, implement monitoring systems, apply best practices in secure data handling, and share MLOps knowledge within the organization.
Skills
Machine Learning
AI Infrastructure
ML Pipeline
Model Deployment
Model Monitoring
Data Processing
Distributed Systems
GPU/TPU Training
MLOps
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