MLOps & Cloud Data Engineer

Patton Labs Inc.

United States

2 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Java (Programming Language) Agile Methodology Artificial Intelligence Airflow Apache HTTP Server JIRA Automation of Tests BigQuery Cloud Computing Cloud Engineering Cloud Storage Continuous Integration

+23 more

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

Requirements

Bachelor Degree is REQUIRED
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.
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
Experience developing large scale batch and real time data pipelines using technologies like Apache, Kafka, Spark SQL, Airflow, and Microservice architecture.
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