MLOps Engineer

Remote • Posted 5 hours ago • Updated 5 hours ago
Contract W2
No Travel Required
Remote
$55 - $60/hr
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Job Details

Skills

  • GCP
  • Vertex AI
  • BigQuery
  • Dockers & Kubernetes
  • ETL/ELT Pipelines
  • Dataflow
  • Dataproc (PySpark)
  • MLflow & Kubeflow
  • Terraform (IaC)
  • RAG / LLM Applications

Summary

Job Title: MLOps Engineer (Google Cloud Platform Specialization)

Location: Denver, CO (Remote)

Position Overview

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

 

Skill

Required Experience (Years)

Google Cloud Platform (Overall)

 

Vertex AI

 

BigQuery

 

Dockers & Kubernetes (GKE)

 

ETL/ELT Pipelines

 

Dataflow

 

Dataproc (PySpark)

 

MLflow & Kubeflow

 

Terraform (IaC)

 

RAG / LLM Applications

 

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: 91172615
  • Position Id: 8940037
  • Posted 5 hours ago

Company Info

About Appiness Inc.

A global consulting and tech firm, specializing in product development, AI solutions, UX consulting, and digital services. We empower startups and Fortune 500 companies with future-ready, scalable, and intelligent solutions. Driven by innovation, built for real-world impact.

We work closely with startups to create their product and help it get of the ground, and continue support in scaling up strategies and technologies. For our blue-chip clients we bring in to the table our vast experience in bleeding edge technology and pleasurable UX.

We create a comprehensive soul for a brand in the online world. We create digital products that infiltrates the public realm and engages the targeted customers of our clients all over the globe through a multiple platforms of Digital Media, including web, mobile and wearables.

We have a young, passionate and aggressive team who are not afraid to think out of the box or tread the un-trodden path in order to deliver the best result for our clients. We call it Practical Creativity, where the belief is that the idea is only as good as the returns it fetches for our clients. We are not here to create immortal art; we are here to generate revenue for our clients. We believe in a dynamic and meaningful conversation between our clients and their customers for which we facilitate a medium.

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