Senior Machine Learning Engineer
TrueMLSalary not specified
- Full Time
- Senior (5 to 8 years)
$140,000 – $180,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
InternshipJob Type
UnknownVisa
Artificial Intelligence, Data ScienceIndustries
Requirements
Candidates must possess 3+ years of experience as an ML Engineer or Data Scientist, particularly in highly scalable production environments, and demonstrate deep exposure to data science and ML tech stacks including sklearn, Keras/PyTorch, and tuning frameworks, along with proficiency in Python, Pandas, and Jupyter notebooks. They should be a team player with strong written and verbal communication skills, capable of effectively communicating between technical and non-technical audiences, and possess experience with Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, and Kubernetes.
Responsibilities
In this role, the Senior Machine Learning Engineer will build ML models for production use, perform in-depth exploratory data analysis to identify ML opportunities and potential data issues, suggest and implement new features to improve model performance, translate client business problems into ML problems, write and review production-quality code, build scalable machine learning models for claim time series forecasting and NLP text understanding, and continuously grow and learn within the data and ML space to address business problems involving large-scale structured and unstructured datasets.
Skills
Python
Pandas
scikit-learn
Keras
PyTorch
Dagster
BigQuery
Vertex AI
GCP
Spark
Kubernetes
NLP
Time Series Forecasting
Data Analysis
Machine Learning
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