ML Ops Engineer

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

Day-to-Day Responsibilities

Company Benefits & Culture

#LI-CW1 #TECH #Remote

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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.