Hudson IT and Manpower
Sr. MLOps Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. MLOps Engineer in Plano, TX, on a long-term W2 contract. Requires 8+ years in Java Full Stack Development, strong Python and SQL skills, and experience with ML frameworks and cloud platforms like AWS and Azure.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
February 25, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Plano, TX
-
🧠 - Skills detailed
#GIT #Jenkins #PyTorch #Spring Boot #Docker #NoSQL #Microservices #Deployment #Programming #MLflow #SageMaker #Version Control #React #Java #Kubernetes #Angular #ML (Machine Learning) #SQL (Structured Query Language) #Azure #AWS (Amazon Web Services) #Computer Science #Grafana #REST API #Cloud #TensorFlow #AWS SageMaker #Azure DevOps #Oracle #MySQL #DevOps #Observability #Prometheus #Automation #Monitoring #REST (Representational State Transfer) #GitLab #Python #AI (Artificial Intelligence) #GCP (Google Cloud Platform) #MongoDB #GitHub
Role description
Job Description
We are looking for a Senior MLOps Engineer with strong experience in building and maintaining machine learning infrastructure and deployment pipelines. The role requires expertise in cloud ML services, automation, and model lifecycle management.
Location: Plano, TX – Onsite
Duration: Long Term
Work Authorization: W2 Only
Technical Skills
• Strong programming skills in Python and SQL
• Experience with ML frameworks:
• TensorFlow
• PyTorch
• Scikit-learn
• Experience with cloud ML platforms:
• Azure ML
• AWS SageMaker
• GCP Vertex AI
• Containerization and orchestration:
• Docker
• Kubernetes
• CI/CD pipeline tools:
• GitHub Actions
• Azure DevOps
• Jenkins
• GitLab CI
• Observability and monitoring tools:
• Prometheus
• Grafana
• MLflow
• Evidently AI
Preferred Background
• Candidates from Tier 1 universities preferred
• Experience working with Deloitte or KPMG preferred
Required Skills
• Java Full Stack Development
• Spring Boot
• REST APIs / Microservices
• Frontend: Angular or React
• AWS Cloud Services
• Database: SQL / NoSQL (like MySQL, Oracle, MongoDB)
• Version Control: Git
• CI/CD Tools (Jenkins or similar)
• Strong problem-solving skills
Years of Experience
• 8+ years of experience in Java Full Stack Development
• Strong hands-on experience with Java + AWS
Educational Qualification
• Bachelor’s degree in: Computer Science, or Information Technology, or Related field
Job Description
We are looking for a Senior MLOps Engineer with strong experience in building and maintaining machine learning infrastructure and deployment pipelines. The role requires expertise in cloud ML services, automation, and model lifecycle management.
Location: Plano, TX – Onsite
Duration: Long Term
Work Authorization: W2 Only
Technical Skills
• Strong programming skills in Python and SQL
• Experience with ML frameworks:
• TensorFlow
• PyTorch
• Scikit-learn
• Experience with cloud ML platforms:
• Azure ML
• AWS SageMaker
• GCP Vertex AI
• Containerization and orchestration:
• Docker
• Kubernetes
• CI/CD pipeline tools:
• GitHub Actions
• Azure DevOps
• Jenkins
• GitLab CI
• Observability and monitoring tools:
• Prometheus
• Grafana
• MLflow
• Evidently AI
Preferred Background
• Candidates from Tier 1 universities preferred
• Experience working with Deloitte or KPMG preferred
Required Skills
• Java Full Stack Development
• Spring Boot
• REST APIs / Microservices
• Frontend: Angular or React
• AWS Cloud Services
• Database: SQL / NoSQL (like MySQL, Oracle, MongoDB)
• Version Control: Git
• CI/CD Tools (Jenkins or similar)
• Strong problem-solving skills
Years of Experience
• 8+ years of experience in Java Full Stack Development
• Strong hands-on experience with Java + AWS
Educational Qualification
• Bachelor’s degree in: Computer Science, or Information Technology, or Related field
