Solution Consultant
InDepth Engineering Solutions
Consultant II
EXL
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
JuniorMid-Level
Tech Stack
AWSPython
About the role
- Develop and implement machine learning models for predictive analytics, classification, and other applications using both supervised and unsupervised techniques.
- Analyze and interpret complex data sets to identify patterns, trends, and insights that drive business decisions.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Design and execute experiments to validate model performance and improve accuracy.
- Utilize deep learning and NLP techniques for tasks such as text extraction, document classification, summarization, named entity recognition (NER), and computer vision.
- Stay updated with the latest advancements in machine learning and AI technologies to continuously enhance model performance.
Requirements
- 2+ years of experience in machine learning and AI projects, with a strong understanding of underlying algorithms.
- Proficiency in various ML models including supervised (e.g., Logistic Regression, Decision Tree, Random Forest) and unsupervised (e.g., K-means) learning techniques.
- Hands-on experience with predictive models, from data pre-processing to EDA to modeling to evaluation.
- Experience with deep learning and NLP techniques such as OCR-based text extraction, document classification, and summarization.
- Strong programming skills in Python. Experience with AWS SageMaker, Databricks, and other relevant tools.
- Insurance domain experience, specifically in underwriting and claims.
- Experience developing propensity models within the insurance business domain.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningpredictive analyticsclassificationsupervised learningunsupervised learningdeep learningnatural language processingdata pre-processingexploratory data analysismodel evaluation
Soft skills
collaborationcommunicationanalytical thinkingproblem-solving
