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# Cloud Developer - ML/AI Focus

- **Company:** Algo Soft Solutions LLC
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Big Data, BigQuery, Cloud Computing, Cloud Computing Security, Cloud Engineering, Cloud Storage, Continuous Integration, Data as a Services, Data Cleansing, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Warehousing, Data Flow Control, Identity and Access Management, Python (Programming Language), Machine Learning, Operational Databases, Software Engineering, SQL Databases, Data Logging, Google Cloud, Cloud Platform System, Feature Engineering, Large Language Models, Apache Spark, Backend, Git, Event Driven Architecture, Data Lakes, Kubernetes, Google Cloud Functions, Restful APIs, Terraform, Data Pipelines, Serverless Computing, Docker, Databricks, Microservices
- **Published:** September 14, 2026
- **Apply:** https://www.dice.com/job-detail/7f990360-0bb4-45d8-a3df-7eb6e78dcd99

## About the Role

Strong hands-on experience with Google Cloud Platform (Google Cloud Platform) and cloud-native application development.
Proficiency in Python for backend development, automation, APIs, and ML/AI application integration.
Experience with Google Cloud Platform services including Cloud Run, Cloud Functions, BigQuery, Cloud Storage, Pub/Sub, and Vertex AI.
Experience designing and developing scalable, secure, and highly available cloud applications.
Strong understanding of REST APIs, microservices, event-driven architecture, and serverless computing.
Hands-on experience integrating ML models, GenAI/LLM services, and AI APIs into cloud applications.
Experience with CI/CD, Git, Docker, Kubernetes, and Terraform/IaC.
Knowledge of Google Cloud Platform IAM, networking, security, monitoring, logging, and cost optimization.
Experience working with Databricks and cloud-based data platforms is preferred.
Ability to collaborate with Data Engineers, ML Engineers, Data Scientists, and Architects to deliver production-ready AI solutions.

Data Engineer - ML/AI Focus

Strong experience in data engineering and data pipeline development using Python and SQL.
Hands-on experience with Databricks, Apache Spark, Delta Lake, Databricks Workflows, and notebooks.
Strong knowledge of Google Cloud Platform data services, including BigQuery, Cloud Storage, Pub/Sub, and Dataflow.
Experience designing and implementing scalable ETL/ELT batch and real-time data pipelines.
Strong understanding of data modeling, data warehousing, data quality, governance, and data integration.
Experience preparing and transforming large datasets for ML/AI and GenAI/LLM applications.
Knowledge of feature engineering, feature pipelines, and ML data preparation is preferred.
Experience implementing data pipeline orchestration, CI/CD, Git, testing, and monitoring.
Strong understanding of cloud security, IAM, data privacy, and performance/cost optimization.
Ability to work closely with Cloud Developers, ML Engineers, Data Scientists, and business teams to deliver reliable production data platforms.