Apply Now

MLOps Engineer (Google Cloud Platform Specialization)

Remote • Posted 6 hours ago • Updated 6 hours ago

Contract W2

Remote

$40 - $50/hr

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Job Details

Skills

Artificial Intelligence
Bitbucket
Cloud Computing
ELT
Extract
Transform
Load
Generative Artificial Intelligence (AI)
Continuous Integration
Data Engineering
Data Flow
Data Science
Machine Learning (ML)
Google Cloud Platform
Machine Learning Operations (ML Ops)
Continuous Delivery
DevOps
PySpark
Microservices
API

Summary

We are seeking a highly skilled MLOps Engineer with Google Cloud Platform specialization to design, implement, and manage scalable machine learning infrastructure on Google Cloud Platform (Google Cloud Platform). This role will bridge the gap between Data Science, Data Engineering, and DevOps teams to enable seamless model development, deployment, and monitoring in production environments.

The ideal candidate will have deep expertise in Google Cloud Platform services, strong programming skills, and hands-on experience building end-to-end MLOps pipelines.

Required Qualifications

Technical Skills

5+ years of experience in MLOps / Machine Learning Engineering
Strong programming skills in Python
Hands-on expertise with Google Cloud Platform services:
- Vertex AI
- GKE
- Cloud Run
- BigQuery
- Cloud Storage
- Cloud Composer
Experience with Docker & Kubernetes
Experience with CI/CD pipelines (GitLab, Bitbucket)
Experience with Terraform (IaC)
Knowledge of ML frameworks:
- TensorFlow
- PyTorch
- Scikit-learn
Strong understanding of:
- Data pipelines (ETL/ELT)
- BigQuery, Dataflow, Dataproc (PySpark)

Preferred Qualifications

Experience with:
- Vertex AI Pipelines / Kubeflow on GKE
- Feature Store implementation
Exposure to Generative AI & RAG architectures
Experience with model monitoring and drift detection
Knowledge of microservices and API development:
- Cloud Functions
- Cloud Endpoints
Google Cloud Certifications:
- Professional Machine Learning Engineer
- Professional Cloud Architect

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.

Dice Id: 91159203
Position Id: 8940147
Posted 6 hours ago

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

MLOps Engineer

Remote

•

Today

Job Title: MLOps Engineer (Google Cloud Platform Specialization) Location: Denver, CO (Remote) Position Overview We are seeking a highly skilledMLOps Engineer with Google Cloud Platform specializationto design, implement, and manage scalable machine learning infrastructure on Google Cloud Platform (Google Cloud Platform). This role will bridge the gap between Data Science, Data Engineering, and DevOps teams to enable seamless model development, deployment, and monitoring in production environmen

Easy Apply

Contract

55 - 60

Senior Full Stack Engineer (Google Cloud Platform)

Remote

•

26d ago

We are looking for a Senior Full Stack Engineer with deep Google Cloud Platform (Google Cloud Platform) expertise to design, build, and deploy scalable applications end-to-end. This is not a general cloud roleyou must be hands-on across application development, data engineering, and Google Cloud Platform infrastructure. Required Skills (Must-Have Keywords)Google Cloud Platform (Google Cloud Platform) BigQuery (data modeling, performance tuning, analytics) Vertex AI (model deployment, pipelines,

Easy Apply

Contract

Depends on Experience

ML Ops Engineer with statistical modeling and predictive analytics

Remote

•

4d ago

Role:ML Ops Engineer with statistical modeling and predictive analytics Location: Remote (USA) Job type: Contract to hire Job Description We are looking for an experienced ML Ops Engineer with 8+ years of experience to design, deploy, and manage scalable machine learning systems. The ideal candidate should have strong expertise in Python and R, along with hands-on experience in statistical modeling, predictive analytics, and open-source AI frameworks. Key Responsibilities: Build, deploy, and

Easy Apply

Contract

50 - 60

AI Architect & Machine Learning Developer for Cloud Native AI Solutions

Remote

•

2d ago

Job Title: AI Architect & Machine Learning Developer for Cloud Native AI Solutions Location: Multiple Locations (Remote or Onsite Options Available) Job Type: Full-Time or Contract Salary: From $180K DOE + Great Benefits Job ID: 7337 Position OverviewSherlockTalent is working with an esteemed client on the forefront of AI innovations to fill this AI Architect & Machine Learning Developer role. The selected individual will design and deploy advanced AI solutions from robust data pipelines to prod

Contract

$180,000

Search all similar jobs