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
Conflict Resolution
Problem Solving
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!
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.