Machine Learning Engineer

Overview

On Site
$55
Contract - W2
Contract - 12 Month(s)

Skills

Continuous Delivery
Cloud Computing
Continuous Integration
Docker
Google Cloud Platform
Machine Learning (ML)
Python
TensorFlow
Terraform
scikit-learn
PyTorch
Kubeflow
MLflow
Airflow
orchestration
Apache Spark
Ansible
Kubernetes

Job Details

ML senior engineers

Local to Sunnyvale

Duration: 12+ months

Technical Skills

Must have:
Expertise in Python and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
Strong Experience in deployment/devops technologies: CI/CD pipelines, Kubernetes/Docker, and infrastructure-as-code tools (Terraform, Ansible, etc.). and cloud-native architectures (Google Cloud Platform and Aruze), monitoring and observability for ML workloads
Advanced understanding of ML pipeline orchestration tools like Kubeflow, MLflow, Airflow, or TFX.
Nice to have:
Experience with distributed computing frameworks (e.g., Spark, Ray, Dask) is a plus.
Familiarity with model explainability, fairness, and bias detection tools is highly desirable.
Strong knowledge of security best practices for ML systems, including data encryption, API security, and governance

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