Machine Learning Ops Engineer

HRB Digital LLC.
Rolla Township, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Rolla Township, United States of America

Tech stack

Amazon Web Services (AWS)
Azure
Cloud Computing
Code Review
Python
Machine Learning
Software Construction
SQL Databases
Google Cloud Platform
Cloud Platform System
Generative AI
GIT
Kubernetes
Data Management
Machine Learning Operations
Software Version Control
Bamboo
Docker
Databricks

Job description

The Machine Learning Operations (MLOps) Engineer is responsible for building and maintaining the infrastructure that supports the development, deployment, and monitoring of machine learning models. Day to day you'll...

  • work closely with data scientists and other MLOps engineers to streamline workflows, automate processes, and ensure the scalability and reliability of ML systems in production environments.
  • ensure that the team is able to offer machine learning model predictions at scale.
  • devlier reliable, scalable ML systems that enable teams to move models from experimentation to production quickly and safely, while maintaining high standards for performance, security, and operational excellence.

Requirements

Do you have experience in Version control systems?, Do you have a Bachelor's degree?, * Bachelor's degree in a related field or the equivalent through a combination of education and related work experience

  • Ability to collaborate and solve problems effectively with excellent cross-team collaboration and communication skills
  • Experience with Git
  • Familiarity with cloud platforms such as AWS, Azure, or GCP, including deploying and operating services in cloud environments
  • 3 years minimum related work experience
  • Proficiency in Python and experience applying software engineering best practices (version control, testing, and code reviews)
  • Strong problem solving skills, attention to detail, and ability to troubleshoot production issues
  • Working knowledge of model governance concepts, including model versioning, experiment tracking, reproducibility, and rollback strategies

Preferred Qualifications:

  • Experience with Databricks, Azure Pipelines, and major cloud platforms (AWS, Azure, and GCP)
  • Experience with Docker, Kubernetes, SQL, and enterprise scale data management practices
  • Working knowledge of Generative AI technologies and their operational considerations

Benefits & conditions

Why work for us: Since 1955, we have been leaders in tax preparation, financial services, and small business solutions. With 70,000 associates and 9,000 retail tax locations across North America, Australia, Ireland, and India, we have helped millions of clients and countless communities. If you embrace challenges as opportunities, value winning as a team, and seek to make a meaningful difference, join us on our journey. You'll reap the rewards of helping others along with competitive compensation and benefits to support your health and well-being.

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