Senior Platform Engineer, Machine Learning
Fieldguide$188,000 - $213,500/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, Artificial Intelligence, AI & Machine Learning, Data Science, BiotechnologyIndustries
Requirements
Candidates should possess a Bachelor’s degree in Computer Science or a related field, and have at least 5 years of experience in software engineering, with a focus on building and deploying scalable systems. Strong experience with cloud platforms (e.g., AWS, GCP, Azure) and distributed computing frameworks (e.g., MapReduce) is required. Experience with GPU/TPU model training and automated model monitoring systems is also necessary. Familiarity with MLOps tools and practices is highly desirable.
Responsibilities
As a Staff Software Engineer - ML Platform, you will design, build, and launch scalable ML and data processing systems, automate model lifecycle management, introduce modern frameworks for model monitoring and hyperparameter tuning, deploy models through APIs, research and implement the latest MLOps tools, implement monitoring systems, ensure secure data handling and model integrity, share MLOps knowledge, and support the next phase of ML pipeline development by handling increased data volume.
Skills
ML infrastructure
ML pipeline
Model deployment
Distributed data processing
GPU/TPU training
Model monitoring
Cloud platforms
MLOps
System architecture
Automation
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.
New York City, New YorkHeadquarters
2019Year Founded
$58.7MTotal Funding
LATE_VCCompany Stage
Enterprise Software, AI & Machine Learning, Financial ServicesIndustries
201-500Employees