ML Ops Engineer

The Planet GroupMinneapolis, MN, United States

job_description.job_card.variable_hours_ago

serp_jobs.job_preview.job_type

serp_jobs.job_card.full_time

job_description.job_card.job_description

Job Description

Job Title : Associate Machine Learning Operations Engineer

Location : 100% Remote (Candidates outside PST strongly preferred)

Hourly Pay Rate : $60-70 / hr W2 (Contract-to-Hire)

Conversion Salary : ~$130,000 (midpoint)

Contract Duration : 6 months (with conversion as early as 3 months possible)

Schedule : Full-time (40 hours per week, standard business hours)

Introduction

We are seeking an Associate Machine Learning Operations (MLOps) Engineer to help design, implement, and maintain machine learning operations pipelines. This is a contract-to-hire opportunity ideal for someone with a data engineering background and an engineering mindset who enjoys scaling machine learning models into production environments. Unlike data science R&D roles, this position is focused on operationalizing and scaling POCs from the Data Science team into production systems.

Required Skills & Qualifications

Minimum 3 years of relevant professional experience
Bachelor's degree in Computer Science, Data Science, or related field (or equivalent combination of education and experience)
Hands-on experience in data engineering with focus on machine learning operations (MLOps)
Proficiency in Python and knowledge of data pipeline architecture and transformations (Databricks preferred)
Familiarity with cloud platforms (Azure strongly preferred; AWS or GCP acceptable)
Experience with ETL pipeline design and maintenance
Understanding of SQL and database fundamentals
Knowledge of CI / CD concepts and tools (e.g., Jenkins, Git, Perforce)
Experience in machine learning model deployment and management
Familiarity with performance monitoring and optimization techniques
Strong understanding of DevOps and ML lifecycle principles

Preferred Skills & Qualifications

Prior experience with scaling POCs into production environments

Strong problem-solving skills with the ability to troubleshoot model performance and pipeline issues

Experience ensuring compliance with data security and privacy regulations

Exposure to monitoring and logging frameworks for ML models in production

Ability to collaborate across data science, engineering, and operations teams

Day-to-Day Responsibilities

Assist in designing and developing MLOps infrastructure for deploying and managing ML models

Collaborate with data scientists to integrate POCs into scalable production pipelines

Build and maintain automated workflows and pipelines to support efficient model deployment

Monitor performance of ML models and troubleshoot issues in pipelines or infrastructure

Ensure security, scalability, and compliance of MLOps infrastructure

Support documentation of MLOps processes, workflows, and system architecture

Stay current on emerging technologies and best practices in MLOps

Company Benefits & Culture

Competitive W2 hourly pay with strong conversion potential

Contract-to-hire pathway with ~$130K target salary on conversion

100% remote work with cross-functional collaboration across diverse teams

Opportunity to play a critical role in scaling ML models into enterprise production environments

Collaborative, growth-focused culture that values innovation and engineering excellence

#LI-CW1 #TECH #Remote

The staffing industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly, never provide banking information during the application process and always double check the email address of the Recruiter to ensure it's from an official Planet domain (@theplanetgroup.com or @launchcg.com) - and not a domain with an alternative extension like .net, .org or .jobs.

The Planet Group and our companies are equal opportunity employers. It is our practice not to discriminate against any employee or applicant based on any criteria, condition or basis protected by laws or regulations in the locations where we do business. All qualified applicants are encouraged to apply. We celebrate diversity and are committed to providing an environment of mutual respect. We believe that diversity, equity and inclusion enable us to better meet our mission and values while serving our clients across the globe. If you have a disability or handicap and would like us to accommodate you in any reasonable way, please inform your recruiter, or contact us, so that we can discuss the appropriate alternatives available.

serp_jobs.job_alerts.create_a_job

Ml Engineer • Minneapolis, MN, United States