Machine Learning Operations Data Engineer IV

Overview

On Site
USD 130,000.00 - 164,000.00 per year
Full Time

Skills

Insurance
Code Refactoring
Management
Computer Science
Data Science
Machine Learning Operations (ML Ops)
Data Engineering
Software Development
Python
R
Apache Spark
SQL
PySpark
Pandas
scikit-learn
Generalized Linear Model
Databricks
Continuous Integration
Continuous Delivery
Soft Skills
Problem Solving
Conflict Resolution
Analytical Skill
Communication
Collaboration
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud Platform
Google Cloud
Docker
Kubernetes
Automated Testing
Machine Learning (ML)
Privacy
Marketing

Job Details

Location: Johnston, RI
Salary: $130,000.00 USD Annually - $164,000.00 USD Annually
Description:
One of our clients in the insurance industry is looking to hire a Machine Learning Operations Data Engineer IV

Direct hire, full-time

Fully onsite in Johnston, RI

Key Responsibilities:

Lead refactoring of R codebase to Python

Design and implement scalable MLOps solutions

Establish and maintain CI/CD pipelines for ML models

Configure and manage MLflow on Databricks

Implement monitoring systems and alerts for ML models

Collaborate with cross-functional teams for smooth ML model integration

Qualifications:

Bachelor's degree in Computer Science, Data Science, or related field

3+ years in MLOps, data engineering, or software development

Strong proficiency in Python and R

Extensive experience with Databricks and MLflow

Experience with Azure (must-have), AWS, or Google Cloud Platform

Knowledge of Docker, Kubernetes, DVC, Pachyderm

Technical Skills:

Python, R, Spark SQL, PySpark

Pandas, scikit-learn, tidyverse, glm, caret

MLflow, Databricks, Delta Lake

CI/CD pipelines, Docker, Kubernetes

Monitoring and alerting systems

Soft Skills:

Strong problem-solving and analytical skills

Excellent communication abilities

Effective collaboration in a fast-paced environment

Proactive approach to identifying and resolving issues

Preferred Qualifications:

Experience with cloud platforms (Azure, AWS, Google Cloud Platform)

Knowledge of containerization technologies (Docker, Kubernetes)

Familiarity with data versioning tools (DVC, Pachyderm)

Experience with automated testing frameworks for ML models

Understanding of data privacy and security best practices

If this is something you'd be interested in please send over a copy of your resume and I can give you a call.

Thanks!

By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.

Contact:

This job and many more are available through The Judge Group. Please apply with us today!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Judge Group, Inc.