AI/Machine Learning Analyst

Q2 HR Solutions; Quezon City; On-site; PHP 669,600 - 1,004,400; Full time

Job summary

A leading HR consulting firm is looking for an AI/Machine Learning Analyst to analyze complex datasets and develop AI-driven insights. This role requires strong skills in data analysis, knowledge of machine learning frameworks, and the ability to communicate technical concepts clearly. The ideal candidate has at least 2 years of experience in data analytics or related fields, with a focus on ERP data analysis. Competitive compensation and a collaborative environment are offered.

Qualifications

• 2+ years of experience working with data analytics, machine learning, or AI technologies.
• Experience with cloud platforms like Azure or AWS.
• Familiarity with machine learning frameworks.

Responsibilities

• Analyze large datasets from ERP systems and other sources.
• Develop, test, and validate machine learning models.
• Translate technical findings into clear insights for stakeholders.

Skills

Analytical and critical thinking

Strong problem-solving abilities

Curiosity and continuous learning mindset

Attention to detail and data accuracy

Collaboration and communication skills

Education

Bachelor's degree in a quantitative field

Tools

Azure

AWS

Microsoft Fabric

Job description

About the job AI/Machine Learning Analyst

Job Summary:

The AI / Machine Learning Analyst is responsible for analyzing complex datasets, developing AI-driven insights, and supporting the design and implementation of machine learning models that enhance business decision-making. This role bridges data science and technical implementation, ideal for someone who enjoys turning data into meaningful, actionable intelligence. A strong background in ERP systems is a plus, as many insights will come from ERP data.

Duties and Responsibilities:

• Analyze large datasets from ERP systems and other sources to identify trends, patterns, and opportunities for AI-driven optimization.
• Develop, test, and validate machine learning models in collaboration with business intelligence analysts.
• Evaluate AI systems and algorithms, providing recommendations for improvements in accuracy, performance, and usability.
• Translate technical findings into clear insights for business stakeholders, including reports, dashboards, and presentations.
• Support AI project lifecycles, including data collection, preprocessing, feature engineering, and model monitoring.
• Research emerging AI technologies and assess their potential impact on business processes and products.
• Ensure ethical, secure, and compliant use of AI, following internal policies and relevant regulations.
• Collaborate cross-functionally with product, engineering, operations, and leadership teams to identify new opportunities for AI adoption.

Qualifications:

• Bachelors degree in a quantitative field (e.g., Computer Science, Data Science, Statistics) or equivalent portfolio experience.
• Experience with cloud platforms (Azure or AWS).
• Knowledge of natural language processing (NLP), computer vision, or generative AI techniques.
• Background in statistical modeling or predictive analytics.
• 2+ years of experience working with data analytics, machine learning, or AI technologies (or relevant academic/portfolio work).
• Familiarity with machine learning frameworks.
• Experience working with ERP systems and analyzing ERP data.
• Ability to interpret and communicate complex technical concepts to non-technical audiences.
• Experience with Microsoft Fabric is a plus.

Preferred Qualifications:

Hands-on experience with ERP data modeling, reporting, or predictive analytics.

• Analytical and critical thinking
• Strong problem-solving abilities
• Curiosity and continuous learning mindset
• Attention to detail and data accuracy
• Collaboration and communication skills
• Ability to work on multiple projects and meet deadlines