Hybrid Cloud Data Engineer | ML & AI Analytics

IBM; Philippines; Hybrid; PHP 1,200,000 - 1,800,000; Full time

Job summary

IBM Consulting seeks a data science professional to develop advanced ML models for telecom operations, forecasting, and customer experience. You will analyze large multi-source datasets, craft automated predictive models, and enable data-driven decisions for operational improvements.

Responsibilities include building dashboards, collaborating with cross-functional teams, and maintaining model governance in a hybrid delivery center.

Qualifications

• Strong knowledge of machine learning techniques, statistical modeling and data mining.
• Proficiency in Python, R, SQL and ML libraries.
• Familiarity with cloud platforms and MLOps tools (AWS, Azure, IBM Cloud, Databricks).
• Strong communication skills to break down complex analyses for leadership.
• Deep understanding of telecom datasets and multi-channel data flows preferred.
• Ability to manage multiple projects and deliver insights rapidly.

Responsibilities

• Develop advanced statistical, predictive, and ML models to optimize telecom operations, forecasting accuracy, customer experience, and cost efficiency.
• Analyze large, complex datasets from multiple sources to identify operational insights.
• Build automated models for volume forecasting, agent performance prediction, and customer behavior modeling.
• Work with stakeholders to develop use cases leveraging AI/ML for improvements and automation.
• Design dashboards, automated reporting tools and decision-support systems for real-time insights.
• Collaborate with WFM, Operations, Quality, and Finance to interpret data signals and recommend actions.
• Develop NLP and text analytics models for sentiment, quality evaluations, and channel optimization.
• Lead data discovery, cleaning, feature engineering, and validation across analytics initiatives.
• Conduct model performance testing, drift analysis, and continuous recalibration.
• Document methodologies and ensure governance and compliance with data and AI policies.

Skills

Machine learning

Statistical modeling

Data mining

Python

R

SQL

Cloud platforms

MLOps

Communication skills

Call center data

Education

Bachelor’s Degree

Master’s or PhD in Data Science or related field

Tools

AWS

Azure

IBM Cloud

Databricks

Job description

IBM Consulting seeks a data science professional to develop advanced ML models for telecom operations, forecasting, and customer experience. You will analyze large multi-source datasets, craft automated predictive models, and enable data-driven decisions for operational improvements.

Responsibilities include building dashboards, collaborating with cross-functional teams, and maintaining model governance in a hybrid delivery center.