Data AI/ML Engineer

As an experienced professional with 4+ years of experience, you will play a key role at Aeris Communications Inc. in building and maintaining the enterprise data lake, designing ETL pipelines, developing ML models for forecasting, and creating AI agents/MCP integrations using LLM APIs. Key Responsibilities: - Build and maintain data lake on BigQuery including ingestion, transformation, and scheduling - Design and implement ETL pipelines (Python) across banking, ERP, and CRM sources - Experiment with and deploy ML models for cash forecasting and business predictions - Develop AI agents and MCP tool integrations using LLM APIs - Ensure data quality, monitoring, and alerting across pipelines Required Skills: - Python ETL Pandas, NumPy, data modeling, API integrations - SQL Complex queries, schema design, performance tuning - GCP BigQuery, Cloud Storage, CloudRun, Secret Manager - Data Lake Design Ingestion from ERP/CRM systems (NetSuite, Salesforce), schema evolution, data quality - REST API Development and consumption (OAuth, webhooks) - Git & CI/CD Version control and deployment basics Preferred Skills: - AI Agent Development Tool-calling agents, MCP servers, LLM APIs (Claude, Gemini, OpenAI) - Machine Learning Time series forecasting, predictive modeling (Prophet, XGBoost, SARIMAX) - BI Tools Qlik or Looker - Orchestration Cloud Scheduler, Airflow, or cron-based job pipelines At Aeris Communications Inc., you will be part of a trusted cellular IoT leader that powers todays connected smart world with innovative technologies and borderless connectivity. Join us in simplifying management, enhancing security, optimizing performance, and driving growth for a global ecosystem of enterprise customers and mobile network operator partners. As an experienced professional with 4+ years of experience, you will play a key role at Aeris Communications Inc. in building and maintaining the enterprise data lake, designing ETL pipelines, developing ML models for forecasting, and creating AI agents/MCP integrations using LLM APIs. Key Responsibilities: - Build and maintain data lake on BigQuery including ingestion, transformation, and scheduling - Design and implement ETL pipelines (Python) across banking, ERP, and CRM sources - Experiment with and deploy ML models for cash forecasting and business predictions - Develop AI agents and MCP tool integrations using LLM APIs - Ensure data quality, monitoring, and alerting across pipelines Required Skills: - Python ETL Pandas, NumPy, data modeling, API integrations - SQL Complex queries, schema design, performance tuning - GCP BigQuery, Cloud Storage, CloudRun, Secret Manager - Data Lake Design Ingestion from ERP/CRM systems (NetSuite, Salesforce), schema evolution, data quality - REST API Development and consumption (OAuth, webhooks) - Git & CI/CD Version control and deployment basics Preferred Skills: - AI Agent Development Tool-calling agents, MCP servers, LLM APIs (Claude, Gemini, OpenAI) - Machine Learning Time series forecasting, predictive modeling (Prophet, XGBoost, SARIMAX) - BI Tools Qlik or Looker - Orchestration Cloud Scheduler, Airflow, or cron-based job pipelines At Aeris Communications Inc., you will be part of a trusted cellular IoT leader that powers todays connected smart world with innovative technologies and borderless connectivity. Join us in simplifying management, enhancing security, optimizing performance, and driving growth for a global ecosystem of enterprise customers and mobile network operator partners.