Senior AI/ML Ops Engineer (AI Platforms & Deployment) - W2 Only
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AI/ML Ops Engineer focused on AI Platforms & Deployment, requiring 5+ years in software engineering with 3+ years in MLOps, strong Python skills, cloud platform expertise (AWS, GCP, Azure), and experience with Docker and Kubernetes.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
July 11, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
San Francisco Bay Area
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🧠 - Skills detailed
#Programming #DevOps #Argo #MLflow #Docker #Observability #Cloud #Monitoring #GitHub #AWS (Amazon Web Services) #Version Control #Computer Science #ML (Machine Learning) #Deployment #Java #ML Ops (Machine Learning Operations) #Python #GCP (Google Cloud Platform) #AI (Artificial Intelligence) #Jenkins #GitLab #Airflow #Bash #Azure #Kubernetes
Role description
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A technology services client of ours is looking for a Senior AI/ML Ops Engineer – AI Platforms & Deployment for their ongoing projects.
Below are the additional details of this role:
Required Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in software engineering or DevOps, with 3+ years focused on MLOps or ML infrastructure.
• Strong programming skills in Python (experience with Go, Bash, or Java is a plus).
• Proficient in working with cloud platforms: AWS, GCP, or Azure.
• Deep understanding of Docker, Kubernetes, and container-based deployment strategies.
• Hands-on experience with ML workflow orchestration tools: Kubeflow, Airflow, Prefect, or similar.
• Experience with CI/CD tools: GitLab CI, Jenkins, Argo CD, or GitHub Actions.
• Familiarity with monitoring and alerting tools and observability best practices for ML systems.
• Strong understanding of version control, model registry, and artifact tracking (e.g., MLflow, DVC).
This role can be W2 and open for USC/GC/H1B/EAD resources.
