Who we are
Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers.
Job Description:
Job Title : Machine Learning Platform Engineer (GCP)
Job Type : C2C
Experience : 10 15 years
Location : Houston TX(Hybrid)
Responsibilities:
- Design and maintain ML platforms and infrastructure on Google Cloud Platform
- Build scalable ML pipelines using Vertex AI BigQuery Cloud Storage and Dataflow
- Implement end-to-end MLOps workflows including training deployment monitoring and retraining
- Enable CI/CD for ML models and pipelines using Cloud Build GitOps and Terraform
- Develop reusable ML components feature pipelines and model registries
- Support real-time and batch inference workloads
- Monitor model performance drift and data quality in production
- Optimize ML systems for performance reliability security and cost
- Collaborate closely with data scientists ML engineers and platform teams
- Establish best practices documentation and platform governance
Required Skills & Qualifications
- Proven experience as a Machine Learning Platform Engineer or MLOps Engineer
- Strong hands-on experience with Google Cloud Platform
- Vertex AI (training pipelines model deployment)
- BigQuery Cloud Storage
- Cloud Functions / Cloud Run
- Proficiency in Python
- Experience with Docker and Kubernetes (GKE)
- Strong understanding of MLOps concepts and ML lifecycle management
- Experience with CI/CD and infrastructure automation
Nice to Have
- Experience with Terraform or other IaC tools
- Knowledge of feature stores and model monitoring tools
- Experience with streaming pipelines (Pub/Sub Dataflow)
- GCP Professional Machine Learning Engineer certification
- Experience supporting enterprise-scale ML platforms
Qualification:
- Bachelors degree or equivalent combination of education and experience.
Who we are Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers. Job Description: Job Title : Machine Learning Platform Engineer (GCP) Job Type : C2C Experience : 10 15 years Location : Houst...
Who we are
Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers.
Job Description:
Job Title : Machine Learning Platform Engineer (GCP)
Job Type : C2C
Experience : 10 15 years
Location : Houston TX(Hybrid)
Responsibilities:
- Design and maintain ML platforms and infrastructure on Google Cloud Platform
- Build scalable ML pipelines using Vertex AI BigQuery Cloud Storage and Dataflow
- Implement end-to-end MLOps workflows including training deployment monitoring and retraining
- Enable CI/CD for ML models and pipelines using Cloud Build GitOps and Terraform
- Develop reusable ML components feature pipelines and model registries
- Support real-time and batch inference workloads
- Monitor model performance drift and data quality in production
- Optimize ML systems for performance reliability security and cost
- Collaborate closely with data scientists ML engineers and platform teams
- Establish best practices documentation and platform governance
Required Skills & Qualifications
- Proven experience as a Machine Learning Platform Engineer or MLOps Engineer
- Strong hands-on experience with Google Cloud Platform
- Vertex AI (training pipelines model deployment)
- BigQuery Cloud Storage
- Cloud Functions / Cloud Run
- Proficiency in Python
- Experience with Docker and Kubernetes (GKE)
- Strong understanding of MLOps concepts and ML lifecycle management
- Experience with CI/CD and infrastructure automation
Nice to Have
- Experience with Terraform or other IaC tools
- Knowledge of feature stores and model monitoring tools
- Experience with streaming pipelines (Pub/Sub Dataflow)
- GCP Professional Machine Learning Engineer certification
- Experience supporting enterprise-scale ML platforms
Qualification:
- Bachelors degree or equivalent combination of education and experience.
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