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# MLOps & Cloud Data Engineer

- **Company:** Patton Labs Inc.
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Airflow, Apache HTTP Server, JIRA, Automation of Tests, BigQuery, Cloud Computing, Cloud Engineering, Cloud Storage, Continuous Integration, Data Architecture, Data Governance, Data Mining, Database Design, Expert Systems, Github, Apache Hive, Python (Programming Language), Machine Learning, Tensorflow, Azure Machine Learning, SQL Databases, Google Cloud, Apache Spark, Kubernetes, Real Time Data, Apache Kafka, Machine Learning Operations, Virtual Agents, Restful APIs, Terraform, Docker, Microservices
- **Published:** September 3, 2026
- **Apply:** https://www.dice.com/job-detail/396e0284-985b-442a-b5ff-8e68cadd56b9

## About the Role

1. Bachelor Degree is REQUIRED
 2. Deep expertise in MLOPS and Machine Learning Platforms, hands on experience deploying, monitoring, and optimizing ML/AI pipelines in production environments, and experience supporting continuous learning, modeling monitoring, and Agentic AI solutions.
 3. Strong Google Cloud Platform engineering experience, proven ability to build scalable cloud native data and ML platforms using Google Cloud Platform services such as BIGQUERY, Pub/Sub, Kubernetes, and Cloud Storage
 4. Experience developing large scale batch and real time data pipelines using technologies like Apache, Kafka, Spark SQL, Airflow, and Microservice architecture.
 5. Strong experience with CI/CD, Terraform, Docker, Github, Tekton, automated testing practices in Agile environment.

Skills Required:
Technical Communication, Communications, Google Cloud Platform, TensorFlow, Data Governance, Machine Learning, Python, Artificial Intelligence & Expert Systems, GitHub, Tekton, Docker, Jira, Microservices, Data Architecture, Agile Software Development, SQL, Java, Spark, Cloud Architecture, Apache Kafka, REST APIs

Skills Preferred:
Telematics, Machine Learning, Data Modeling, Cloud Infrastructure, Data Mining, Database Design, Troubleshooting (Problem Solving), Labor Supervision



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